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(8 events)   Time zone: Conference local time zone  
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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 04:00 AM -- 04:20 AM (CEST)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
In Reinforcement Learning 8
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
[ Paper ]
Spotlight
Wed Jul 21 04:20 AM -- 04:25 AM (CEST)
On Proximal Policy Optimization's Heavy-tailed Gradients
In Reinforcement Learning 8
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
[ Paper ]
Spotlight
Wed Jul 21 04:25 AM -- 04:30 AM (CEST)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
In Reinforcement Learning 8
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
[ Paper ]
Spotlight
Wed Jul 21 04:30 AM -- 04:35 AM (CEST)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
In Reinforcement Learning 8
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
[ Paper ]
Spotlight
Wed Jul 21 04:35 AM -- 04:40 AM (CEST)
Is Pessimism Provably Efficient for Offline RL?
In Reinforcement Learning 8
Ying Jin · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Wed Jul 21 04:40 AM -- 04:45 AM (CEST)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
In Reinforcement Learning 8
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
[ Paper ]
Spotlight
Wed Jul 21 04:45 AM -- 04:50 AM (CEST)
Density Constrained Reinforcement Learning
In Reinforcement Learning 8
Zengyi Qin · Yuxiao Chen · Chuchu Fan
[ Paper ]
Q&A
Wed Jul 21 04:50 AM -- 04:55 AM (CEST)
Q&A
In Reinforcement Learning 8