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In-Person Oral presentation / top 25% paper
Mon May 01 01:00 AM -- 01:10 AM (PDT) @ AD12 None
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Pierre Schumacher · Daniel Haeufle · Dieter Büchler · Syn Schmitt · Georg Martius
In-Person Oral presentation / top 25% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ AD12 None
The In-Sample Softmax for Offline Reinforcement Learning
Chenjun Xiao · Han Wang · Yangchen Pan · Adam White · Martha White
In-Person Oral presentation / top 5% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ AD12 None
Emergence of Maps in the Memories of Blind Navigation Agents
Erik Wijmans · Manolis Savva · Irfan Essa · Stefan Lee · Ari Morcos · Dhruv Batra
[ Slides
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ AD12 None
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati · Jérémy Rapin · Yann Ollivier
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ AD12 None
Learning Soft Constraints From Constrained Expert Demonstrations
Ashish Gaurav · Kasra Rezaee · Guiliang Liu · Pascal Poupart
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ AD12 None
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar · Rishabh Agarwal · Xinyang Geng · George Tucker · Sergey Levine
In-Person Oral presentation / top 25% paper
Mon May 01 02:00 AM -- 02:10 AM (PDT) @ AD12 None
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang