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Affinity Workshop
Mon 11:35 Breakout Session 4.3: Coping with Sample Inefficiency of Deep-Reinforcement Learning (DRL) for Embodied AI
Poster
Thu 6:00 Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj · Yoram Bresler · Bo Li
Poster
Thu 9:00 CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Michael Laskin · Aravind Srinivas · Pieter Abbeel
Poster
Wed 5:00 Reinforcement Learning for Integer Programming: Learning to Cut
Yunhao Tang · Shipra Agrawal · Yuri Faenza
Poster
Wed 12:00 Deep Coordination Graphs
Wendelin Boehmer · Vitaly Kurin · Shimon Whiteson
Poster
Thu 6:00 Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr Pong · Murtaza Dalal · Steven Lin · Ashvin Nair · Shikhar Bahl · Sergey Levine
Poster
Tue 10:00 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Thu 18:00 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Rundong Wang · Xu He · Runsheng Yu · Wei Qiu · Bo An · Zinovi Rabinovich
Poster
Tue 7:00 Taylor Expansion Policy Optimization
Yunhao Tang · Michal Valko · Remi Munos
Workshop
Exact (Then Approximate) Dynamic Programming for Deep Reinforcement Learning
Henrik Marklund
Workshop
Group Equivariant Deep Reinforcement Learning
Arnab Kumar Mondal
Workshop
Sat 9:00 Contributed Talk: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie