Pradeep Varakantham

According to our database, Pradeep Varakantham authored at least 163 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations.

Huy Hoang, Tien Mai, Pradeep Varakantham

CoRR, 2024

Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans.

Changyu Chen, Shashank Reddy Chirra, Maria José Ferreira, Cleotilde Gonzalez, Arunesh Sinha, Pradeep Varakantham

CoRR, 2024

Safety through feedback in Constrained RL.

Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri

CoRR, 2024

EduQate: Generating Adaptive Curricula through RMABs in Education Settings.

Sidney Tio, Dexun Li, Pradeep Varakantham

CoRR, 2024

Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning.

Wenjun Li, Changyu Chen, Pradeep Varakantham

CoRR, 2024

Bootstrapping Language Models with DPO Implicit Rewards.

Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

CoRR, 2024

Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning.

Roman Belaire, Arunesh Sinha, Pradeep Varakantham

CoRR, 2024

SubIQ: Inverse Soft-Q Learning for Offline Imitation with Suboptimal Demonstrations.

Huy Hoang, Tien Mai, Pradeep Varakantham

CoRR, 2024

IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health.

Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Imitating Cost-Constrained Behaviors in Reinforcement Learning.

Qian Shao, Pradeep Varakantham, Shih-Fen Cheng

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Preserving the Privacy of Reward Functions in MDPs through Deception.

Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design.

Jayden Teoh Jing Teoh, Wenjun Li, Pradeep Varakantham

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Regret-based Defense in Adversarial Reinforcement Learning.

Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning.

Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training.

Wenjun Li, Pradeep Varakantham

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively.

Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning.

Huy Hoang, Tien Mai, Pradeep Varakantham

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators.

Sidney Tio, Jimmy Ho, Pradeep Varakantham

CoRR, 2023

A Hierarchical Approach to Environment Design with Generative Trajectory Modeling.

Dexun Li, Pradeep Varakantham

CoRR, 2023

Conditioning Hierarchical Reinforcement Learning on Flexible Constraints.

Yuxiao Lu, Pradeep Varakantham, Arunesh Sinha

CoRR, 2023

Regret-Based Optimization for Robust Reinforcement Learning.

Roman Belaire, Pradeep Varakantham, David Lo

CoRR, 2023

Diversity Induced Environment Design via Self-Play.

Dexun Li, Wenjun Li, Pradeep Varakantham

CoRR, 2023

Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties.

Hao Jiang, Tien Mai, Pradeep Varakantham

CoRR, 2023

Effective Diversity in Unsupervised Environment Design.

Wenjun Li, Pradeep Varakantham, Dexun Li

CoRR, 2023

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning.

Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transferable Curricula through Difficulty Conditioned Generators.

Sidney Tio, Pradeep Varakantham

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalization through Diversity: Improving Unsupervised Environment Design.

Wenjun Li, Pradeep Varakantham, Dexun Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Sustainable Ride Pooling Through Conditional Expected Value Decomposition.

Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning.

Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar, Pradeep Varakantham

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Avoiding Starvation of Arms in Restless Multi-Armed Bandits.

Dexun Li, Pradeep Varakantham

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Strategic Planning for Flexible Agent Availability in Large Taxi Fleets.

Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling.

Xianjie Zhang, Pradeep Varakantham, Hao Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Constrained Reinforcement Learning in Hard Exploration Problems.

Pathmanathan Pankayaraj, Pradeep Varakantham

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization.

Tanvi Verma, Pradeep Varakantham

CoRR, 2022

Towards Soft Fairness in Restless Multi-Armed Bandits.

Dexun Li, Pradeep Varakantham

CoRR, 2022

Efficient resource allocation with fairness constraints in restless multi-armed bandits.

Dexun Li, Pradeep Varakantham

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Hierarchical Value Decomposition for Effective On-demand Ride-Pooling.

Jiang Hao, Pradeep Varakantham

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Preface.

Sylvie Thiébaux, William Yeoh, Akshat Kumar, Pradeep Varakantham

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Joint Pricing and Matching for City-Scale Ride-Pooling.

Sanket Shah, Meghna Lowalekar, Pradeep Varakantham

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health.

Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Facilitating Human-Wildlife Cohabitation through Conflict Prediction.

Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing.

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

J. Artif. Intell. Res., 2021

Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling.

Avinandan Bose, Pradeep Varakantham

CoRR, 2021

Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.

Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe

CoRR, 2021

CLAIM: curriculum learning policy for influence maximization in unknown social networks.

Dexun Li, Meghna Lowalekar, Pradeep Varakantham

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare.

Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adaptive Operating Hours for Improved Performance of Taxi Fleets.

Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning Index Policies for Restless Bandits with Application to Maternal Healthcare.

Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems.

Tanvi Verma, Pradeep Varakantham

CoRR, 2020

On Solving Cooperative MARL Problems with a Few Good Experiences.

Rajiv Ranjan Kumar, Pradeep Varakantham

CoRR, 2020

Competitive Ratios for Online Multi-capacity Ridesharing.

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Online Traffic Signal Control through Sample-Based Constrained Optimization.

Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning.

Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neural Approximate Dynamic Programming for On-Demand Ride-Pooling.

Sanket Shah, Meghna Lowalekar, Pradeep Varakantham

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Correlated Learning for Aggregation Systems.

Tanvi Verma, Pradeep Varakantham

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

RE-ORG: An Online Repositioning Guidance Agent.

Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses.

Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Entropy Based Independent Learning in Anonymous Multi-Agent Settings.

Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing.

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Resource Constrained Deep Reinforcement Learning.

Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments.

Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh

ACM Trans. Intell. Syst. Technol., 2018

TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control.

Srishti Dhamija, Pradeep Varakantham

CoRR, 2018

Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings.

Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau

CoRR, 2018

Online spatio-temporal matching in stochastic and dynamic domains.

Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Artif. Intell., 2018

Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments.

Pritee Agrawal, Pradeep Varakantham, William Yeoh

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Driver Guidance System for Taxis in Singapore.

Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Pradeep Varakantham, Nghia Troung Troung, Firmansyah Bin Abd Rahman

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Bounded Rank Optimization for Effective and Efficient Emergency Response.

Pallavi Manohar, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.

Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Upping the Game of Taxi Driving in the Age of Uber.

Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dispatch Guided Allocation Optimization for Effective Emergency Response.

Supriyo Ghosh, Pradeep Varakantham

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems.

Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet

J. Artif. Intell. Res., 2017

Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs).

Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet

J. Artif. Intell. Res., 2017

Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation.

Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang

AI Mag., 2017

Mechanism Design for Strategic Project Scheduling.

Pradeep Varakantham, Na Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments.

Pritee Agrawal, Pradeep Varakantham

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Exploiting Anonymity and Homogeneity in Factored Dec-MDPs through Precomputed Binomial Distributions.

Rajiv Ranjan Kumar, Pradeep Varakantham

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues.

Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Online Repositioning in Bike Sharing Systems.

Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems.

Supriyo Ghosh, Pradeep Varakantham

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Decentralized Planning in Stochastic Environments with Submodular Rewards.

Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Sequential Decision Making for Improving Efficiency in Urban Environments.

Pradeep Varakantham

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems.

Supriyo Ghosh, Michael A. Trick, Pradeep Varakantham

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning.

Pritee Agrawal, Pradeep Varakantham, William Yeoh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

An Intelligent System for Personalized Conference Event Recommendation and Scheduling.

Aldy Gunawan, Hoong Chuin Lau, Pradeep Varakantham, Wenjie Wang

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Detecting Communities Using Coordination Games: A Short Paper.

Radhika Arava, Pradeep Varakantham

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Robust Influence Maximization: (Extended Abstract).

Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

PRESS: PeRsonalized Event Scheduling recommender System (Demonstration).

Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Strategic Planning for Setting Up Base Stations in Emergency Medical Systems.

Supriyo Ghosh, Pradeep Varakantham

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty.

Na Fu, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

A Proactive Sampling Approach to Project Scheduling under Uncertainty.

Pradeep Varakantham, Na Fu, Hoong Chuin Lau

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

NLU Framework for Voice Enabling Non-Native Applications on Smart Devices.

Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Robust Decision Making for Stochastic Network Design.

Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Solving Risk-Sensitive POMDPs With and Without Cost Observations.

Ping Hou, William Yeoh, Pradeep Varakantham

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Robust execution strategies for project scheduling with unreliable resources and stochastic durations.

Na Fu, Hoong Chuin Lau, Pradeep Varakantham

J. Sched., 2015

An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs.

Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe

Multiagent Grid Syst., 2015

Learning and Controlling Network Diffusion in Dependent Cascade Models.

Jiali Du, Pradeep Varakantham, Akshat Kumar, Shih-Fen Cheng

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems.

William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs.

Supriyo Ghosh, Akshat Kumar, Pradeep Varakantham

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems.

Pradeep Varakantham, Hala Mostafa, Na Fu, Hoong Chuin Lau

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Near-Optimal Decentralized Power Supply Restoration in Smart Grids.

Pritee Agrawal, Akshat Kumar, Pradeep Varakantham

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Risk Based Optimization for Improving Emergency Medical Systems.

Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems.

Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet

Proceedings of the Artificial Intelligence for Cities, 2015

Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty.

Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

TESLA: an extended study of an energy-saving agent that leverages schedule flexibility.

Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood

Auton. Agents Multi Agent Syst., 2014

Marginal Contribution Stochastic Games for Dynamic Resource Allocation.

Archie C. Chapman, Pradeep Varakantham

Proceedings of the PRIMA 2014: Principles and Practice of Multi-Agent Systems, 2014

Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork.

Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Building THINC: user incentivization and meeting rescheduling for energy savings.

Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

On understanding diffusion dynamics of patrons at a theme park.

Jiali Du, Akshat Kumar, Pradeep Varakantham

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Revisiting Risk-Sensitive MDPs: New Algorithms and Results.

Ping Hou, William Yeoh, Pradeep Varakantham

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Decentralized Stochastic Planning with Anonymity in Interactions.

Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.

Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

An agent-based simulation approach to experience management in theme parks.

Shih-Fen Cheng, Larry Lin, Jiali Du, Hoong Chuin Lau, Pradeep Varakantham

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Regret based Robust Solutions for Uncertain Markov Decision Processes.

Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable Randomized Patrolling for Securing Rapid Transit Networks.

Pradeep Varakantham, Hoong Chuin Lau, Zhi Yuan

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

TESLA: an energy-saving agent that leverages schedule flexibility.

Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems.

Pradeep Varakantham, Akshat Kumar

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks.

Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Robust Local Search for Solving RCPSP/max with Durational Uncertainty.

Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao

J. Artif. Intell. Res., 2012

Reports of the AAAI 2011 Fall Symposia.

Sam Blisard, Ted Carmichael, Li Ding, Tim Finin, Wende Frost, Arthur C. Graesser, Mirsad Hadzikadic, Lalana Kagal, Geert-Jan M. Kruijff, Pat Langley, James C. Lester, Deborah L. McGuinness, Jack Mostow, Panagiotis Papadakis, Fiora Pirri, Rashmi Prasad, Svetlana Stoyanchev, Pradeep Varakantham

AI Mag., 2012

Dynamic Stochastic Orienteering Problems for Risk-Aware Applications.

Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Uncertain Congestion Games with Assorted Human Agent Populations.

Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Active malware analysis using stochastic games.

Simon Andrew Williamson, Pradeep Varakantham, Ong Chen Hui, Debin Gao

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Prioritized shaping of models for solving DEC-POMDPs.

Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia P. Sycara, Paul Scerri

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Delayed observation planning in partially observable domains.

Pradeep Varakantham, Janusz Marecki

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Sustainable multiagent application to conserve energy (demonstration).

Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

SAVES: a sustainable multiagent application to conserve building energy considering occupants.

Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Lagrangian relaxation for large-scale multi-agent planning.

Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Decision Support for Agent Populations in Uncertain and Congested Environments.

Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Decision Support in Organizations: A Case for OrgPOMDPs.

Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Social Model Shaping for Solving Generic DEC-POMDPs.

Pradeep Varakantham

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Incremental DCOP search algorithms for solving dynamic DCOPs.

William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Distributed model shaping for scaling to decentralized POMDPs with hundreds of agents.

Prasanna Velagapudi, Pradeep Varakantham, Katia P. Sycara, Paul Scerri

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Adaptive decision support for structured organizations: a case for OrgPOMDPs.

Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Decentralized decision support for an agent population in dynamic and uncertain domains.

Pradeep Varakantham, Shih-Fen Cheng, Nguyen Thi Duon

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Introducing communication in Dis-POMDPs with locality of interaction.

Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, Milind Tambe

Web Intell. Agent Syst., 2010

A Decision Theoretic Approach to Data Leakage Prevention.

Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakantham

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Effect of Human Biases on Human-Agent Teams.

Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

Analyzing the impact of human bias on human-agent teams in resource allocation domains.

Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Risk-sensitive planning in partially observable environments.

Janusz Marecki, Pradeep Varakantham

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Towards Finding Robust Execution Strategies for RCPSP/max with Durational Uncertainty.

Na Fu, Pradeep Varakantham, Hoong Chuin Lau

Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

2009

Caching schemes for DCOP search algorithms.

William Yeoh, Pradeep Varakantham, Sven Koenig

Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping.

Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki, Paul Scerri, Milind Tambe

Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008

Not all agents are equal: scaling up distributed POMDPs for agent networks.

Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Linear Relaxation Techniques for Task Management in Uncertain Settings.

Pradeep Varakantham, Stephen F. Smith

Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007

Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs.

Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe

Proceedings of the IJCAI 2007, 2007

Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies.

Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, Milind Tambe, Makoto Yokoo

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Demonstration of teamwork in uncertain domains using hybrid BDI-POMDP systems.

Tapana Gupta, Pradeep Varakantham, Timothy W. Rauenbusch, Milind Tambe

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

SPIDER Attack on a Network of POMDPs: Towards Quality Bounded Solutions.

Pradeep Varakantham, Janusz Marecki, Milind Tambe, Makoto Yokoo

Proceedings of the Game Theoretic and Decision Theoretic Agents, 2007

2006

Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications.

Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe

Auton. Agents Multi Agent Syst., 2006

Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents.

Nathan Schurr, Pradeep Varakantham, Emma Bowring, Milind Tambe, Barbara J. Grosz

Proceedings of the Programming Multi-Agent Systems, 4th International Workshop, 2006

Winning back the CUP for distributed POMDPs: planning over continuous belief spaces.

Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Electric Elves: What Went Wrong and Why.

Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, David V. Pynadath, Paul Scerri

Proceedings of the What Went Wrong and Why: Lessons from AI Research and Applications, 2006

Exploiting Locality of Interaction in Networked Distributed POMDPs.

Yoonheui Kim, Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

Proceedings of the Distributed Plan and Schedule Management, 2006

2005

Implementation Techniques for Solving POMDPs in Personal Assistant Agents.

Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe

Proceedings of the Programming Multi-Agent Systems, 2005

Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs.

Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Exploiting belief bounds: practical POMDPs for personal assistant agents.

Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe

Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Conflicts in teamwork: hybrids to the rescue.

Milind Tambe, Emma Bowring, Hyuckchul Jung, Gal A. Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh Jay Modi, Ranjit Nair, Stephen Okamoto, Jonathan P. Pearce, Praveen Paruchuri, David V. Pynadath, Paul Scerri, Nathan Schurr, Pradeep Varakantham

Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Practical POMDPs for Personal Assistant Domains.

Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe

Proceedings of the Persistent Assistants: Living and Working with AI, 2005

Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents.

Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe

Proceedings of the Persistent Assistants: Living and Working with AI, 2005

Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs.

Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

Proceedings of the Proceedings, 2005

2004

Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling.

Rajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper.

Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen L. Myers

Proceedings of the Agents and Computational Autonomy - Potential, Risks, and Solutions - Postproceedings of the 1st International Workshop on Computational Autonomy, 2003

2002

On handling component and transaction failures in multi agent systems.

Pradeep Varakantham, Santosh Kumar Gangwani, Kamalakar Karlapalem

SIGecom Exch., 2002