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Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Mon 1:00 Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li · Yilin Wu · Huazhe Xu · Xiaolong Wang · Yi Wu
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 · LĂ©onard Hussenot-Desenonges · Matthieu Geist · Olivier Pietquin
Poster
Mon 9:00 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki
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 17:00 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou · Zizhao Zhang · Han Zhang · Chun-Liang Li · Xiao Bian · Jia-Bin Huang · Tomas Pfister
Poster
Mon 17:00 Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
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
Tue 9:00 Scalable Bayesian Inverse Reinforcement Learning
Alex Chan · Mihaela van der Schaar
Poster
Tue 17:00 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu · Junkun Chen · Louis-Pascal A Xhonneux · Yoshua Bengio · Jian Tang
Poster
Tue 17:00 Behavioral Cloning from Noisy Demonstrations
Fumihiro Sasaki · Ryota Yamashina