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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 Eļ¬ƒcient 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