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Oral
Wed 11:15 Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh · Abhishek Gupta · Ashwin D Reddy · Justin Fu · Coline M Devin · Benjamin Eysenbach · Sergey Levine
Spotlight
Thu 19:35 What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang · Dean Foster · Sham M Kakade
Spotlight
Thu 3:35 Quantifying Differences in Reward Functions
Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike
Spotlight
Thu 3:25 UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers
Siyi Hu · Fengda Zhu · Xiaojun Chang · Xiaodan Liang
Poster
Tue 9:00 Quantifying Differences in Reward Functions
Adam Gleave · Michael Dennis · Shane Legg · Stuart Russell · Jan Leike
Poster
Tue 17:00 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine
Poster
Mon 9:00 On the role of planning in model-based deep reinforcement learning
Jessica Hamrick · Abram Friesen · Feryal Behbahani · Arthur Guez · Fabio Viola · Sims Witherspoon · Thomas Anthony · Lars Buesing · Petar Veličković · Theophane Weber
Poster
Thu 17:00 Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh · Kimin Lee · Jinwoo Shin · Eunho Yang · Sung Ju Hwang
Poster
Wed 1:00 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima · Hiroki Furuta · Yutaka Matsuo · Ofir Nachum · Shixiang Gu
Poster
Mon 17:00 What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang · Dean Foster · Sham M Kakade
Poster
Mon 17:00 UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers
Siyi Hu · Fengda Zhu · Xiaojun Chang · Xiaodan Liang
Poster
Wed 17:00 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Xiaoyu Chen · Jiachen Hu · Lihong Li · Liwei Wang