|
Workshop
|
|
Syllabus: Curriculum Learning Made Easy
Ryan Sullivan
|
|
|
Workshop
|
|
A Theoretical Explanation of Deep RL Performance in Stochastic Environments
Cassidy Laidlaw · Banghua Zhu · Stuart J Russell · Anca Dragan
|
|
|
Poster
|
Wed 15:00
|
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Shengran Hu · Jeff Clune
|
|
|
Poster
|
Thu 8:45
|
Thinker: Learning to Plan and Act
Stephen Chung · Ivan Anokhin · David Krueger
|
|
|
Workshop
|
Sat 7:50
|
Geometry of abstract learned knowledge in deep RL agents
James Mochizuki-Freeman
|
|
|
Poster
|
Thu 8:45
|
Active Vision Reinforcement Learning under Limited Visual Observability
Jinghuan Shang · Michael S Ryoo
|
|
|
Workshop
|
|
Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning
Tianpei Yang · Srijita Das · Christabel Wayllace · Matthew Taylor
|
|
|
Workshop
|
|
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis · Justin Jung · Falcon Dai · Matthew Walter
|
|
|
Poster
|
Wed 8:45
|
A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning
Junmin Zhong · Ruofan Wu · Jennie Si
|
|
|
Poster
|
Tue 15:15
|
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi · Rasool Fakoor · Shoham Sabach
|
|
|
Poster
|
Tue 15:15
|
Explore to Generalize in Zero-Shot RL
Ev Zisselman · Itai Lavie · Daniel Soudry · Aviv Tamar
|
|
|
Poster
|
Tue 8:45
|
COOM: A Game Benchmark for Continual Reinforcement Learning
Tristan Tomilin · Meng Fang · Yudi Zhang · Mykola Pechenizkiy
|
|
