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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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09/07/2021
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
We introduce a framework for decentralized online learning for multi-arm...
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06/15/2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
We introduce a generic template for developing regret minimization algor...
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06/09/2021
Online Learning for Stochastic Shortest Path Model via Posterior Sampling
We consider the problem of online reinforcement learning for the Stochas...
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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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07/23/2020
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
We develop several new algorithms for learning Markov Decision Processes...
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06/08/2020
A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret
Recently, model-free reinforcement learning has attracted research atten...
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10/15/2019
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Model-free reinforcement learning is known to be memory and computation ...
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12/25/2018
