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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
Provably Efficient Algorithms for Multi-Objective Competitive RL
In Reinforcement Learning Theory 4
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
Online Learning in Unknown Markov Games
In Reinforcement Learning Theory 4
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
In Reinforcement Learning Theory 4
Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
In Reinforcement Learning Theory 4
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
In Reinforcement Learning Theory 4
Yujia Jin · Aaron Sidford
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
In Reinforcement Learning Theory 4
Liyu Chen · Haipeng Luo
[ Paper ]
Q&A
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Q&A
In Reinforcement Learning Theory 4