firstbacksecondback
20 Results
|
Poster
|
Wed 1:00 |
Learning Task Decomposition with Ordered Memory Policy Network Yuchen Lu · Yikang Shen · Siyuan Zhou · Aaron Courville · Joshua B Tenenbaum · Chuang Gan |
|
|
Oral
|
Mon 19:30 |
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh · Huihan Liu · Gaoyue Zhou · Albert Yu · Nicholas Rhinehart · Sergey Levine |
|
|
Poster
|
Wed 9:00 |
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang · Tarun Gupta · Anuj Mahajan · Bei Peng · Shimon Whiteson · Chongjie Zhang |
|
|
Poster
|
Mon 17:00 |
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh · Huihan Liu · Gaoyue Zhou · Albert Yu · Nicholas Rhinehart · Sergey Levine |
|
|
Poster
|
Mon 1:00 |
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li · Yilin Wu · Huazhe Xu · Xiaolong Wang · Yi Wu |
|
|
Poster
|
Tue 17:00 |
Behavioral Cloning from Noisy Demonstrations Fumihiro Sasaki · Ryota Yamashina |
|
|
Spotlight
|
Wed 21:45 |
Behavioral Cloning from Noisy Demonstrations Fumihiro Sasaki · Ryota Yamashina |
|
|
Poster
|
Tue 1:00 |
Learning Subgoal Representations with Slow Dynamics Siyuan Li · Lulu Zheng · Jianhao Wang · Chongjie Zhang |
|
|
Poster
|
Thu 1:00 |
Learning What To Do by Simulating the Past David Lindner · Rohin Shah · Pieter Abbeel · Anca Dragan |
|
|
Poster
|
Mon 9:00 |
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao · Frank F Xu · Pengcheng Yin · Huan Sun · Graham Neubig |
|
|
Poster
|
Mon 9:00 |
Primal Wasserstein Imitation Learning Robert Dadashi · Léonard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin |
|
|
Poster
|
Tue 9:00 |
Scalable Bayesian Inverse Reinforcement Learning Alex Chan · Mihaela van der Schaar |