
Learning Zerosum Stochastic Games with Posterior Sampling
In this paper, we propose Posterior Sampling Reinforcement Learning for ...
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A relaxed technical assumption for posterior samplingbased reinforcement learning for control of unknown linear systems
We revisit the Thompson sampling algorithm to control an unknown linear ...
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Scalable regret for learning to control networkcoupled subsystems with unknown dynamics
We consider the problem of controlling an unknown linear quadratic Gauss...
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Optimal communication and control strategies in a multiagent MDP problem
The problem of controlling multiagent systems under different models of...
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Online Learning for Unknown Partially Observable MDPs
Solving Partially Observable Markov Decision Processes (POMDPs) is hard....
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Dynamic Games among Teams with Delayed IntraTeam Information Sharing
We analyze a class of stochastic dynamic games among teams with asymmetr...
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Common Information Belief based Dynamic Programs for Stochastic Zerosum Games with Competing Teams
Decentralized team problems where players have asymmetric information ab...
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Thompson sampling for linear quadratic meanfield teams
We consider optimal control of an unknown multiagent linear quadratic (...
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Optimal Dynamic Mechanism Design with Stochastic Supply and Flexible Consumers
We consider the problem of designing an expectedrevenue maximizing mech...
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Testing for Anomalies: Active Strategies and Nonasymptotic Analysis
The problem of verifying whether a multicomponent system has anomalies ...
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Regret Bounds for Decentralized Learning in Cooperative MultiAgent Dynamical Systems
Regret analysis is challenging in MultiAgent Reinforcement Learning (MA...
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Fixedhorizon Active Hypothesis Testing
Two active hypothesis testing problems are formulated. In these problems...
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Zerosum Stochastic Games with Asymmetric Information
A general model for zerosum stochastic games with asymmetric informatio...
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Active Hypothesis Testing: Beyond ChernoffStein
An active hypothesis testing problem is formulated. In this problem, the...
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Sequential Experiment Design for Hypothesis Verification
Hypothesis testing is an important problem with applications in target l...
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Optimal Mechanism Design with Flexible Consumers and Costly Supply
The problem of designing a profitmaximizing, Bayesian incentive compati...
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Ashutosh Nayyar
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