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Oral
Tue Jul 19 10:30 AM -- 10:50 AM (PDT) @ Room 309
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
In Reinforcement Learning: Deep/Batch/Offline
Vihang Patil · Markus Hofmarcher · Marius-Constantin Dinu · Matthias Dorfer · Patrick Blies · Johannes Brandstetter · Jose A. Arjona-Medina · Sepp Hochreiter
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 309
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
In Reinforcement Learning: Deep/Batch/Offline
Brandon Trabucco · mariano phielipp · Glen Berseth
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 309
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
In Reinforcement Learning: Deep/Batch/Offline
Fei Deng · Ingook Jang · Sungjin Ahn
Spotlight
Tue Jul 19 11:00 AM -- 11:05 AM (PDT) @ Room 309
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
In Reinforcement Learning: Deep/Batch/Offline
Edoardo Cetin · Philip Ball · Stephen Roberts · Oya Celiktutan
Spotlight
Tue Jul 19 11:05 AM -- 11:10 AM (PDT) @ Room 309
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
In Reinforcement Learning: Deep/Batch/Offline
Miguel Suau · Jinke He · Matthijs T. J. Spaan · Frans Oliehoek
Spotlight
Tue Jul 19 11:10 AM -- 11:15 AM (PDT) @ Room 309
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
In Reinforcement Learning: Deep/Batch/Offline
Yao Mu · Shoufa Chen · Mingyu Ding · Jianyu Chen · Runjian Chen · Ping Luo
Oral
Tue Jul 19 11:15 AM -- 11:35 AM (PDT) @ Room 309
Offline RL Policies Should Be Trained to be Adaptive
In Reinforcement Learning: Deep/Batch/Offline
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 309
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
In Reinforcement Learning: Deep/Batch/Offline
Katie Kang · Paula Gradu · Jason Choi · Michael Janner · Claire Tomlin · Sergey Levine
Spotlight
Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 309
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
In Reinforcement Learning: Deep/Batch/Offline
Pengyi Li · Hongyao Tang · Tianpei Yang · Xiaotian Hao · Tong Sang · Yan Zheng · Jianye Hao · Matthew Taylor · Wenyuan Tao · Zhen Wang
Spotlight
Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 309
Supervised Off-Policy Ranking
In Reinforcement Learning: Deep/Batch/Offline
Yue Jin · Yue Zhang · Tao Qin · Xudong Zhang · Jian Yuan · Houqiang Li · Tie-Yan Liu
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 309
The Primacy Bias in Deep Reinforcement Learning
In Reinforcement Learning: Deep/Batch/Offline
Evgenii Nikishin · Max Schwarzer · Pierluca D'Oro · Pierre-Luc Bacon · Aaron Courville
Spotlight
Tue Jul 19 11:55 AM -- 12:00 PM (PDT) @ Room 309
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
In Reinforcement Learning: Deep/Batch/Offline
Shentao Yang · Yihao Feng · Shujian Zhang · Mingyuan Zhou