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In-Person Oral presentation / top 25% paper
Mon May 01 06:00 AM -- 06:10 AM (PDT) @ AD10 None
Multi-skill Mobile Manipulation for Object Rearrangement
In Oral 2 Track 4: Reinforcement Learning
Jiayuan Gu · Devendra Singh Chaplot · Hao Su · Jitendra Malik
In-Person Oral presentation / top 25% paper
Mon May 01 06:10 AM -- 06:20 AM (PDT) @ AD10 None
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
In Oral 2 Track 4: Reinforcement Learning
Dian Wang · Jung Yeon Park · Neel Sortur · Lawson Wong · Robin Walters · Robert Platt
In-Person Oral presentation / top 25% paper
Mon May 01 06:20 AM -- 06:30 AM (PDT) @ AD10 None
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
In Oral 2 Track 4: Reinforcement Learning
Hiroki Furuta · Yusuke Iwasawa · Yutaka Matsuo · Shixiang Gu
[ Slides] 
In-Person Oral presentation / top 5% paper
Mon May 01 06:30 AM -- 06:40 AM (PDT) @ AD10 None
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
In Oral 2 Track 4: Reinforcement Learning
Pierluca D'Oro · Max Schwarzer · Evgenii Nikishin · Pierre-Luc Bacon · Marc G Bellemare · Aaron Courville
In-Person Oral presentation / top 25% paper
Mon May 01 06:40 AM -- 06:50 AM (PDT) @ AD10 None
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
In Oral 2 Track 4: Reinforcement Learning
Kevin Frans · Phillip Isola
In-Person Oral presentation / top 5% paper
Mon May 01 06:50 AM -- 07:00 AM (PDT) @ AD10 None
Near-optimal Policy Identification in Active Reinforcement Learning
In Oral 2 Track 4: Reinforcement Learning
Xiang Li · Viraj Mehta · Johannes Kirschner · Ian Char · Willie Neiswanger · Jeff Schneider · Andreas Krause · Ilija Bogunovic
In-Person Oral presentation / top 25% paper
Mon May 01 07:00 AM -- 07:10 AM (PDT) @ AD10 None
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
In Oral 2 Track 4: Reinforcement Learning
Andrew Szot · Amy Zhang · Dhruv Batra · Zsolt Kira · Franziska Meier
In-Person Oral presentation / top 25% paper
Mon May 01 07:10 AM -- 07:20 AM (PDT) @ AD10 None
Learning About Progress From Experts
In Oral 2 Track 4: Reinforcement Learning
Jake Bruce · Ankit Anand · Bogdan Mazoure · Rob Fergus