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A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks


May 26, 2023
Jacob Abernethy, Alekh Agarwal, Teodor V. Marinov, Manfred K. Warmuth

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An Empirical Evaluation of Federated Contextual Bandit Algorithms


Mar 17, 2023
Alekh Agarwal, H. Brendan McMahan, Zheng Xu

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Leveraging User-Triggered Supervision in Contextual Bandits


Feb 07, 2023
Alekh Agarwal, Claudio Gentile, Teodor V. Marinov

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Learning in POMDPs is Sample-Efficient with Hindsight Observability


Feb 03, 2023
Jonathan N. Lee, Alekh Agarwal, Christoph Dann, Tong Zhang

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VO$Q$L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation


Dec 12, 2022
Alekh Agarwal, Yujia Jin, Tong Zhang

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


Jun 21, 2022
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


Jun 15, 2022
Alekh Agarwal, Tong Zhang

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Provable Benefits of Representational Transfer in Reinforcement Learning


May 29, 2022
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


Mar 15, 2022
Alekh Agarwal, Tong Zhang

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