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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 PM -- 10:20 PM (KST)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
In Reinforcement Learning 12
Ying Fan · Yifei Ming
[ Paper ]
Spotlight
Wed Jul 21 10:20 PM -- 10:25 PM (KST)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
In Reinforcement Learning 12
Chenjia Bai · Lingxiao Wang · Lei Han · Jianye Hao · Animesh Garg · Peng Liu · Zhaoran Wang
[ Paper ]
Spotlight
Wed Jul 21 10:25 PM -- 10:30 PM (KST)
Ensemble Bootstrapping for Q-Learning
In Reinforcement Learning 12
Oren Peer · Chen Tessler · Nadav Merlis · Ron Meir
[ Paper ]
Spotlight
Wed Jul 21 10:30 PM -- 10:35 PM (KST)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
In Reinforcement Learning 12
sajad khodadadian · Zaiwei Chen · Siva Maguluri
[ Paper ]
Spotlight
Wed Jul 21 10:35 PM -- 10:40 PM (KST)
A Regret Minimization Approach to Iterative Learning Control
In Reinforcement Learning 12
Naman Agarwal · Elad Hazan · Anirudha Majumdar · Karan Singh
[ Paper ]
Spotlight
Wed Jul 21 10:40 PM -- 10:45 PM (KST)
TempoRL: Learning When to Act
In Reinforcement Learning 12
André Biedenkapp · Raghu Rajan · Frank Hutter · Marius Lindauer
[ Paper ]
Spotlight
Wed Jul 21 10:45 PM -- 10:50 PM (KST)
State Relevance for Off-Policy Evaluation
In Reinforcement Learning 12
Simon Shen · Jason Yecheng Ma · Omer Gottesman · Finale Doshi-Velez
[ Paper ]
Q&A
Wed Jul 21 10:50 PM -- 10:55 PM (KST)
Q&A
In Reinforcement Learning 12