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Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Is Pessimism Provably Efficient for Offline RL?
Ying Jin · Zhuoran Yang · Zhaoran Wang
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Density Constrained Reinforcement Learning
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A