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Poster	Tue 14:00	Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms Tengyu Xu · Yingbin Liang
Poster	Tue 14:00	Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin · Yu Bai · Yu-Xiang Wang
Poster	Tue 14:00	Online Model Selection for Reinforcement Learning with Function Approximation Jonathan Lee · Aldo Pacchiano · Vidya Muthukumar · Weihao Kong · Emma Brunskill
Poster	Tue 14:00	Provably Eﬃcient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Poster	Tue 14:00	On the Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari · Daniel Russo
Poster	Tue 14:00	Reinforcement Learning for Mean Field Games with Strategic Complementarities Kiyeob Lee · Desik Rengarajan · Dileep Kalathil · Srinivas Shakkottai
Oral	Tue 16:30	Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin · Yu Bai · Yu-Xiang Wang
Poster	Tue 18:30	No-Regret Reinforcement Learning with Heavy-Tailed Rewards Vincent Zhuang · Yanan Sui
Poster	Tue 18:30	Q-learning with Logarithmic Regret Kunhe Yang · Lin Yang · Simon Du
Poster	Tue 18:30	Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang · Alp Kucukelbir
Poster	Tue 18:30	On the High Accuracy Limitation of Adaptive Property Estimation Yanjun Han
Poster	Tue 18:30	Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding · Xiaohan Wei · Zhuoran Yang · Zhaoran Wang · Mihailo Jovanovic