
Nearoptimal Bayesian Solution For Unknown Discrete Markov Decision Process
We tackle the problem of acting in an unknown finite and discrete Markov...
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Nearoptimal Reinforcement Learning using Bayesian Quantiles
We study modelbased reinforcement learning in finite communicating Mark...
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NearOptimal Online Egalitarian learning in General Sum Repeated Matrix Games
We study twoplayer general sum repeated finite games where the rewards ...
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Differential Privacy for Multiarmed Bandits: What Is It and What Is Its Cost?
We introduce a number of privacy definitions for the multiarmed bandit ...
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Nearoptimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
We study modelbased reinforcement learning in an unknown finite communi...
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Algorithms for Differentially Private MultiArmed Bandits
We present differentially private algorithms for the stochastic MultiAr...
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Probabilistic inverse reinforcement learning in unknown environments
We consider the problem of learning by demonstration from agents acting ...
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Aristide Tossou
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