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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
In Reinforcement Learning Theory 4
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Online Learning in Unknown Markov Games
In Reinforcement Learning Theory 4
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
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
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
In Reinforcement Learning Theory 4
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
In Reinforcement Learning Theory 4
Yujia Jin · Aaron Sidford
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
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
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning Theory 4