Abhishek Gupta

Orcid: 0000-0003-1117-325X

Affiliations:
  • Ohio State University, Columbus, OH, USA
  • University of Illinois at Urbana-Champaign, IL, USA (PhD 2014)


According to our database1, Abhishek Gupta authored at least 95 papers between 2010 and 2024.

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Bibliography

2024
Probabilistic Contraction Analysis of Iterated Random Operators.
IEEE Trans. Autom. Control., September, 2024

A Deep Reinforcement Learning Framework for Eco-Driving in Connected and Automated Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2024

Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization.
CoRR, 2024

2023
Scheduling EV Charging Having Demand With Different Reliability Constraints.
IEEE Trans. Intell. Transp. Syst., October, 2023

Learning in Constrained Markov Decision Processes.
IEEE Trans. Control. Netw. Syst., March, 2023

Rank Reduction in Bimatrix Games.
IGTR, March, 2023

Nash Equilibrium Control Policy Against Bus-off Attacks in CAN Networks.
IEEE Trans. Inf. Forensics Secur., 2023

Discrete-Time Finite-Horizon Optimization of Singularly Perturbed Nonlinear Control Systems With State-Action Constraints.
IEEE Control. Syst. Lett., 2023

A Computationally Efficient Algorithm for Perturbed Dynamic Programs (A-PDP).
IEEE Control. Syst. Lett., 2023

Model-Free Change Point Detection for Mixing Processes.
CoRR, 2023

Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition.
CoRR, 2023

Masquerade: Simple and Lightweight Transaction Reordering Mitigation in Blockchains.
CoRR, 2023

Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Games.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

Maximizing Success Rate of Payment Routing using Non-stationary Bandits.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles.
IEEE Trans. Intell. Veh., 2022

Fair Pricing of Ridehailing Services With Asymmetric Demand and Travel Time.
IEEE Trans. Control. Netw. Syst., 2022

Fleet sizing and charger allocation in electric vehicle sharing systems.
IFAC J. Syst. Control., 2022

Sketching for Elimination of Communication Links in LQG Teams.
IEEE Control. Syst. Lett., 2022

Fitted Value Iteration in Continuous MDPs With State Dependent Action Sets.
IEEE Control. Syst. Lett., 2022

Robustness to Modeling Errors in Risk-Sensitive Markov Decision Problems with Markov Risk Measures.
CoRR, 2022

Preemptive Scheduling of EV Charging for Providing Demand Response Services.
CoRR, 2022

Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy.
CoRR, 2022

Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits.
Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022

Change Detection of Markov Kernels with Unknown Pre and Post Change Kernel.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Byzantine Resilience With Reputation Scores.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Weighted Gaussian Process Bandits for Non-stationary Environments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021



Existence of Team-Optimal Strategies in Teams With Countable Observation Spaces.
IEEE Trans. Autom. Control., 2021

Convergence of Recursive Stochastic Algorithms Using Wasserstein Divergence.
SIAM J. Math. Data Sci., 2021

A Dynamic Watermarking Algorithm for Finite Markov Decision Problems.
CoRR, 2021

Offline RL With Resource Constrained Online Deployment.
CoRR, 2021

Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming.
CoRR, 2021

An Algorithm to Warm Start Perturbed (WASP) Constrained Dynamic Programs.
CoRR, 2021

Incentive Design and Profit Sharing in Multi-modal Transportation Network.
CoRR, 2021

Two Algorithms for Computing Exact and Approximate Nash Equilibria in Bimatrix Games.
Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021

2020




Some Limit Properties of Markov Chains Induced by Recursive Stochastic Algorithms.
SIAM J. Math. Data Sci., 2020

Existence of Team-Optimal Solutions in Static Teams with Common Information: A Topology of Information Approach.
SIAM J. Control. Optim., 2020

Multi-Objective Vehicle Rebalancing for Ridehailing System using a Reinforcement Learning Approach.
CoRR, 2020

Befriending The Byzantines Through Reputation Scores.
CoRR, 2020

Learning in Markov Decision Processes under Constraints.
CoRR, 2020

2019



Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning.
CoRR, 2019

Some Limit Properties of Markov Chains Induced by Stochastic Recursive Algorithms.
CoRR, 2019

On the Computation of Strategically Equivalent Rank-0 Games.
CoRR, 2019

A Fast Algorithm to Reduce 2 × n Bimatrix Games to Rank-1 Games.
Proceedings of the 17th European Control Conference, 2019

Traffic-Aware Adaptive Routing for Minimizing Fuel Consumption.
Proceedings of the 2019 American Control Conference, 2019

Distributed SGD Generalizes Well Under Asynchrony.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Colonel Blotto Game with Coalition Formation for Sharing Resources.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Communication Link Elimination in Static LQG Teams.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Dynamic Games With Asymmetric Information and Resource Constrained Players With Applications to Security of Cyberphysical Systems.
IEEE Trans. Control. Netw. Syst., 2017

Information structures and values in zero-sum stochastic games.
Proceedings of the 2017 American Control Conference, 2017

2016
Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud.
IEEE Trans. Cloud Comput., 2016

Privacy-aware stochastic control with a "snoopy" adversary: A game-theoretic approach.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
On the Existence of Optimal Policies for a Class of Static and Sequential Dynamic Teams.
SIAM J. Control. Optim., 2015

A Batch System with Efficient Adaptive Scheduling for Malleable and Evolving Applications.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Efficient High Performance Computing in the Cloud: Keynote Talk.
Proceedings of the 8th International Workshop on Virtualization Technologies in Distributed Computing, 2015

Equilibria in two-stage electricity markets.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An empirical algorithm for relative value iteration for average-cost MDPs.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Scheduling, pricing, and efficiency of non-preemptive flexible loads under direct load control.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Techniques for efficient high performance computing in the cloud
PhD thesis, 2014

Common Information Based Markov Perfect Equilibria for Stochastic Games With Asymmetric Information: Finite Games.
IEEE Trans. Autom. Control., 2014

Common Information Based Markov Perfect Equilibria for Linear-Gaussian Games with Asymmetric Information.
SIAM J. Control. Optim., 2014

Maximizing Throughput of Overprovisioned HPC Data Centers Under a Strict Power Budget.
Proceedings of the International Conference for High Performance Computing, 2014

Parallel Programming with Migratable Objects: Charm++ in Practice.
Proceedings of the International Conference for High Performance Computing, 2014

Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages.
Proceedings of the 43rd International Conference on Parallel Processing, 2014

Towards realizing the potential of malleable jobs.
Proceedings of the 21st International Conference on High Performance Computing, 2014

A Three-Stage Colonel Blotto Game: When to Provide More Information to an Adversary.
Proceedings of the Decision and Game Theory for Security - 5th International Conference, 2014

Existence of optimal strategies in a class of dynamic stochastic teams.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dynamic incentive design in multi-stage linear-Gaussian games with asymmetric information: A common information based approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On the existence of optimal strategies in multi-agent stochastic teams.
Proceedings of the American Control Conference, 2014

A three-stage Colonel Blotto game with applications to cyberphysical security.
Proceedings of the American Control Conference, 2014

2013
Towards Efficient Mapping, Scheduling, and Execution of HPC Applications on Platforms in Cloud.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

HPC-Aware VM Placement in Infrastructure Clouds.
Proceedings of the 2013 IEEE International Conference on Cloud Engineering, 2013

The Who, What, Why, and How of High Performance Computing in the Cloud.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

Improving HPC Application Performance in Cloud through Dynamic Load Balancing.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

Contagion Diffusion with EpiSimdemics.
Proceedings of the Parallel Science and Engineering Applications - The Charm++ Approach., 2013

2012
Nash Equilibria for Stochastic Games with Asymmetric Information-Part 1: Finite Games
CoRR, 2012

Parallelizing Information Set Generation for Game Tree Search Applications.
Proceedings of the IEEE 24th International Symposium on Computer Architecture and High Performance Computing, 2012

Cloud Friendly Load Balancing for HPC Applications: Preliminary Work.
Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Exploring the performance and mapping of HPC applications to platforms in the cloud.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

On myopic strategies in dynamic adversarial team decision problems.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

A dynamic transmitter-jammer game with asymmetric information.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Adaptive Message Clustering for Distributed Agent-Based Systems.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011

Temperature Aware Load Balancing for Parallel Applications: Preliminary Work.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

One-stage control over an adversarial channel with finite codelength.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Optimal control in the presence of an intelligent jammer with limited actions.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010


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