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08/24/2023
Conditional Kernel Imitation Learning for Continuous State Environments
Imitation Learning (IL) is an important paradigm within the broader rein...
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07/14/2023
Optimal Symmetric Strategies in Multi-Agent Systems with Decentralized Information
We consider a cooperative multi-agent system consisting of a team of age...
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05/24/2023
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
Autonomous systems often have logical constraints arising, for example, ...
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04/10/2023
A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
The Common Information (CI) approach provides a systematic way to transf...
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09/08/2021
Learning Zero-sum Stochastic Games with Posterior Sampling
In this paper, we propose Posterior Sampling Reinforcement Learning for ...
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08/19/2021
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
We revisit the Thompson sampling algorithm to control an unknown linear ...
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08/18/2021
Scalable regret for learning to control network-coupled subsystems with unknown dynamics
We consider the problem of controlling an unknown linear quadratic Gauss...
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04/22/2021
Optimal communication and control strategies in a multi-agent MDP problem
The problem of controlling multi-agent systems under different models of...
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02/25/2021
Online Learning for Unknown Partially Observable MDPs
Solving Partially Observable Markov Decision Processes (POMDPs) is hard....
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02/23/2021
Dynamic Games among Teams with Delayed Intra-Team Information Sharing
We analyze a class of stochastic dynamic games among teams with asymmetr...
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02/11/2021
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams
Decentralized team problems where players have asymmetric information ab...
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11/09/2020
Thompson sampling for linear quadratic mean-field teams
We consider optimal control of an unknown multi-agent linear quadratic (...
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07/06/2020
Optimal Dynamic Mechanism Design with Stochastic Supply and Flexible Consumers
We consider the problem of designing an expected-revenue maximizing mech...
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05/15/2020
Testing for Anomalies: Active Strategies and Non-asymptotic Analysis
The problem of verifying whether a multi-component system has anomalies ...
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01/27/2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
Regret analysis is challenging in Multi-Agent Reinforcement Learning (MA...
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11/15/2019
Fixed-horizon Active Hypothesis Testing
Two active hypothesis testing problems are formulated. In these problems...
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09/03/2019
Zero-sum Stochastic Games with Asymmetric Information
A general model for zero-sum stochastic games with asymmetric informatio...
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01/21/2019
Active Hypothesis Testing: Beyond Chernoff-Stein
An active hypothesis testing problem is formulated. In this problem, the...
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12/04/2018
Sequential Experiment Design for Hypothesis Verification
Hypothesis testing is an important problem with applications in target l...
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10/25/2017