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Oral
Wed Jul 21 11:00 AM -- 11:20 AM (KST)
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 11:20 AM -- 11:25 AM (KST)
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 11:25 AM -- 11:30 AM (KST)
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 11:30 AM -- 11:35 AM (KST)
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 11:35 AM -- 11:40 AM (KST)
Is Pessimism Provably Efficient for Offline RL?
In Reinforcement Learning 8
Ying Jin · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Wed Jul 21 11:40 AM -- 11:45 AM (KST)
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 11:45 AM -- 11:50 AM (KST)
Density Constrained Reinforcement Learning
In Reinforcement Learning 8
Zengyi Qin · Yuxiao Chen · Chuchu Fan
[ Paper ]
Q&A
Wed Jul 21 11:50 AM -- 11:55 AM (KST)
Q&A
In Reinforcement Learning 8