|
Poster
|
Wed 10:30 |
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan · Jian Peng · Tanmay Gangwani |
|
|
Oral
|
Wed 9:00 |
Bootstrapped Meta-Learning Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh |
|
|
Poster
|
Tue 10:30 |
Bootstrapped Meta-Learning Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh |
|
|
Poster
|
Tue 18:30 |
Skill-based Meta-Reinforcement Learning Taewook Nam · Shao-Hua Sun · Karl Pertsch · Sung Ju Hwang · Joseph Lim |
|
|
Poster
|
Tue 2:30 |
Autonomous Learning of Object-Centric Abstractions for High-Level Planning Steven James · Benjamin Rosman · George D Konidaris |
|
|
Poster
|
Thu 18:30 |
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning Sunghoon Hong · Deunsol Yoon · Kee-Eung Kim |
|
|
Poster
|
Mon 10:30 |
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov · Ashvin Nair · Sergey Levine |
|
|
Poster
|
Tue 18:30 |
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery · Paul Michel · Ameet Talwalkar · Graham Neubig |
|
|
Spotlight
|
Wed 2:30 |
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy · Isabel Valera |
|
|
Poster
|
Wed 2:30 |
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy · Isabel Valera |
|
|
Spotlight
|
Wed 10:30 |
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang · Wei Xu · Haonan Yu |
|
|
Poster
|
Mon 18:30 |
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck · Carla Gomes · Kilian Weinberger |