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On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL



Jinglin Chen , Aditya Modi , Akshay Krishnamurthy , Nan Jiang , Alekh Agarwal


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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity



Alekh Agarwal , Tong Zhang


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Provable Benefits of Representational Transfer in Reinforcement Learning



Alekh Agarwal , Yuda Song , Wen Sun , Kaiwen Wang , Mengdi Wang , Xuezhou Zhang


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Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling



Alekh Agarwal , Tong Zhang


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Minimax Regret Optimization for Robust Machine Learning under Distribution Shift



Alekh Agarwal , Tong Zhang


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Adversarially Trained Actor Critic for Offline Reinforcement Learning



Ching-An Cheng , Tengyang Xie , Nan Jiang , Alekh Agarwal


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Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach



Xuezhou Zhang , Yuda Song , Masatoshi Uehara , Mengdi Wang , Alekh Agarwal , Wen Sun


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Provable RL with Exogenous Distractors via Multistep Inverse Dynamics



Yonathan Efroni , Dipendra Misra , Akshay Krishnamurthy , Alekh Agarwal , John Langford


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Bellman-consistent Pessimism for Offline Reinforcement Learning



Tengyang Xie , Ching-An Cheng , Nan Jiang , Paul Mineiro , Alekh Agarwal


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