Akshat Kumar

According to our database, Akshat Kumar authored at least 93 papers between 2004 and 2024.

Collaborative distances:

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

2024

A Factored MDP Approach To Moving Target Defense With Dynamic Threat Modeling and Cost Efficiency.

Megha Bose, Praveen Paruchuri, Akshat Kumar

CoRR, 2024

Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints.

Siow Meng Low, Akshat Kumar

CoRR, 2024

Leveraging AI Planning For Detecting Cloud Security Vulnerabilities.

Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar

CoRR, 2024

An Adaptive Multi-Objective Optimization on CMOS Two Stage Op-Amp Circuit Synthesis.

Sridhar P, Harish Mallikarjun Kittur, Arghya Korantak, Akshat Kumar

Proceedings of the 28th International Symposium on VLSI Design and Test, 2024

COMEX: Deeply Observing Application Behavior on Real Android Devices.

Zeya Umayya, Dhruv Malik, Arpit Nandi, Akshat Kumar, Sareena Karapoola, Sambuddho Chakravarty

Proceedings of the 17th Cyber Security Experimentation and Test Workshop, 2024

Unified Training of Universal Time Series Forecasting Transformers.

Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning.

Akshat Kumar

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

Factored MDP based Moving Target Defense with Dynamic Threat Modeling.

Megha Bose, Praveen Paruchuri, Akshat Kumar

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

2023

Mean-field games among teams.

Jayakumar Subramanian, Akshat Kumar, Aditya Mahajan

CoRR, 2023

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain.

Gerald Woo, Chenghao Liu, Akshat Kumar, Doyen Sahoo

CoRR, 2023

FlowPG: Action-constrained Policy Gradient with Normalizing Flows.

Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar

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

Learning Deep Time-index Models for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the International Conference on Machine Learning, 2023

A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination.

Jihwan Jeong, Scott Sanner, Akshat Kumar

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 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

Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects.

Siow Meng Low, Akshat Kumar, Scott Sanner

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers.

Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein

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

Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming.

Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar

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

2022

Closing the loop: automatically identifying abnormal imaging results in scanned documents.

Akshat Kumar, Heath Goodrum, Ashley Kim, Carly Stender, Kirk Roberts, Elmer V. Bernstam

J. Am. Medical Informatics Assoc., 2022

Shining light on data: Geometric data analysis through quantum dynamics.

Akshat Kumar, Mohan Sarovar

CoRR, 2022

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

CoRR, 2022

Constrained Multiagent Reinforcement Learning for Large Agent Population.

Jiajing Ling, Arambam James Singh, Nguyen Duc Thien, Akshat Kumar

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies.

Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data.

Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar, T. K. Satish Kumar

Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools.

Mustafa Doga Dogan, Ahmad Taka, Michael Lu, Yunyi Zhu, Akshat Kumar, Aakar Gupta, Stefanie Müller

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Preface.

Sylvie Thiébaux, William Yeoh, Akshat Kumar, Pradeep Varakantham

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

Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs.

Siow Meng Low, Akshat Kumar, Scott Sanner

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

2021

Manifold learning via quantum dynamics.

Akshat Kumar, Mohan Sarovar

CoRR, 2021

Approximate Difference Rewards for Scalable Multigent Reinforcement Learning.

Arambam James Singh, Akshat Kumar, Hoong Chuin Lau

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

Action Selection for Composable Modular Deep Reinforcement Learning.

Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Akshat Kumar

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

Ship-GAN: Generative Modeling Based Maritime Traffic Simulator.

Chaithanya Basrur, Arambam James Singh, Arunesh Sinha, Akshat Kumar

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

Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL.

Arambam James Singh, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Integrating Knowledge Compilation with Reinforcement Learning for Routes.

Jiajing Ling, Kushagra Chandak, Akshat Kumar

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems.

Jiajing Ling, Kushagra Chandak, Akshat Kumar

CoRR, 2020

Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management.

Arambam James Singh, Akshat Kumar, Hoong Chuin Lau

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

Reinforcement Learning for Zone Based Multiagent Pathfinding under Uncertainty.

Jiajing Ling, Tarun Gupta, Akshat Kumar

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

2019

Multiagent Decision Making and Learning in Urban Environments.

Akshat Kumar

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Decision Making for Improving Maritime Traffic Safety Using Constraint Programming.

Saumya Bhatnagar, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Based Optimization for Multiagent Cooperation.

Arambam James Singh, Akshat Kumar

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

Multiagent Decision Making For Maritime Traffic Management.

Arambam James Singh, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs.

Tarun Gupta, Akshat Kumar, Praveen Paruchuri

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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

Credit Assignment For Collective Multiagent RL With Global Rewards.

Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Integrated Cooperation and Competition in Multi-Agent Decision-Making.

Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein

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

Planning and Learning for Decentralized MDPs With Event Driven Rewards.

Tarun Gupta, Akshat Kumar, Praveen Paruchuri

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

Resource-Constrained Scheduling for Maritime Traffic Management.

Lucas Agussurja, Akshat Kumar, Hoong Chuin Lau

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

2017

Policy Gradient With Value Function Approximation For Collective Multiagent Planning.

Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Multi-Agent System for Coordinating Vessel Traffic.

Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar

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

Coordinating Vessel Traffic to Improve Safety and Efficiency.

Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar

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

Multiagent Coordination Using Graph Structured Mathematical Optimization.

Arambam James Singh, Akshat Kumar

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

Robust Optimization for Tree-Structured Stochastic Network Design.

XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein

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

Collective Multiagent Sequential Decision Making Under Uncertainty.

Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

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

Song year prediction using Apache Spark.

Prakhar Mishra, Ratika Garg, Akshat Kumar, Arpan Gupta, Praveen Kumar

Proceedings of the 2016 International Conference on Advances in Computing, 2016

Simultaneous Optimization and Sampling of Agent Trajectories over a Network.

Hala Mostafa, Akshat Kumar, Hoong Chuin Lau

Proceedings of the Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, - Visionary Papers, 2016

Robust Influence Maximization: (Extended Abstract).

Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar

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

Approximate Inference Using DC Programming For Collective Graphical Models.

Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Dual Formulations for Optimizing Dec-POMDP Controllers.

Akshat Kumar, Hala Mostafa, Shlomo Zilberstein

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

Shortest Path Based Decision Making Using Probabilistic Inference.

Akshat Kumar

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Probabilistic Inference Techniques for Scalable Multiagent Decision Making.

Akshat Kumar, Shlomo Zilberstein, Marc Toussaint

J. Artif. Intell. Res., 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

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

Message Passing for Collective Graphical Models.

Tao Sun, Daniel Sheldon, Akshat Kumar

Proceedings of the 32nd International Conference on Machine Learning, 2015

Decomposition techniques for urban consolidation problems.

Duc Thien Nguyen, Hoong Chuin Lau, Akshat Kumar

Proceedings of the IEEE International Conference on Automation Science and Engineering, 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

History-Based Controller Design and Optimization for Partially Observable MDPs.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

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

Near-Optimal Nonmyopic Contact Center Planning Using Dual Decomposition.

Akshat Kumar, Sudhanshu Shekhar Singh, Pranav Gupta, Gyana R. Parija

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

2013

Collective Diffusion Over Networks: Models and Inference.

Akshat Kumar, Daniel Sheldon, Biplav Srivastava

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs.

William Yeoh, Akshat Kumar, Shlomo Zilberstein

Proceedings of the IJCAI 2013, 2013

Parameter Learning for Latent Network Diffusion.

XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein

Proceedings of the IJCAI 2013, 2013

Approximate Inference in Collective Graphical Models.

Daniel Sheldon, Tao Sun, Akshat Kumar, Thomas G. Dietterich

Proceedings of the 30th International Conference on Machine Learning, 2013

Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems.

Pradeep Varakantham, Akshat Kumar

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

Observer: Assisted Adaptive Tracking Control of an Underactuated Autonomous Underwater Vehicle.

Mohan Santhakumar, Gaurav Parchani, Akshat Kumar, Shanmukh Santosh

Proceedings of the Advances In Robotics 2013, 2013

2012

Message-Passing Algorithms for MAP Estimation Using DC Programming.

Akshat Kumar, Shlomo Zilberstein, Marc Toussaint

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning.

Akshat Kumar, XiaoJian Wu, Shlomo Zilberstein

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

2011

Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the UAI 2011, 2011

Scalable Multiagent Planning Using Probabilistic Inference.

Akshat Kumar, Shlomo Zilberstein, Marc Toussaint

Proceedings of the IJCAI 2011, 2011

Message-passing algorithms for large structured decentralized POMDPs.

Akshat Kumar, Shlomo Zilberstein

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

Influence Diagrams with Memory States: Representation and Algorithms.

XiaoJian Wu, Akshat Kumar, Shlomo Zilberstein

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

2010

Anytime Planning for Decentralized POMDPs using Expectation Maximization.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the UAI 2010, 2010

MAP Estimation for Graphical Models by Likelihood Maximization.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Point-based backup for decentralized POMDPs: complexity and new algorithms.

Akshat Kumar, Shlomo Zilberstein

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

2009

Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the IJCAI 2009, 2009

Dynamic Programming Approximations for Partially Observable Stochastic Games.

Akshat Kumar, Shlomo Zilberstein

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Constraint-based dynamic programming for decentralized POMDPs with structured interactions.

Akshat Kumar, Shlomo Zilberstein

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

Distributed constraint optimization with structured resource constraints.

Akshat Kumar, Boi Faltings, Adrian Petcu

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

2008

H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP.

Akshat Kumar, Adrian Petcu, Boi Faltings

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

An Artificial Immune System Based Approach for English Grammar Checking.

Akshat Kumar, Shivashankar B. Nair

Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

2004

Tournament versus fitness uniform selection.

Shane Legg, Marcus Hutter, Akshat Kumar

Proceedings of the IEEE Congress on Evolutionary Computation, 2004