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In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Adversarial Diversity in Hanabi
In Oral 3 Track 1: Reinforcement Learning
Brandon Cui · Andrei Lupu · Samuel Sokota · Hengyuan Hu · David Wu · Jakob Foerster
In-Person Oral presentation / top 5% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
In Oral 3 Track 1: Reinforcement Learning
Kuo-Hao Zeng · Luca Weihs · Roozbeh Mottaghi · Ali Farhadi
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
In Oral 3 Track 1: Reinforcement Learning
Renhao Wang · Jiayuan Mao · Joy Hsu · Hang Zhao · Jiajun Wu · Yang Gao
In-Person Oral presentation / top 5% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
On the Sensitivity of Reward Inference to Misspecified Human Models
In Oral 3 Track 1: Reinforcement Learning
Joey Hong · Kush Bhatia · Anca Dragan
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Understanding and Adopting Rational Behavior by Bellman Score Estimation
In Oral 3 Track 1: Reinforcement Learning
Kuno Kim · Stefano Ermon
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
In Oral 3 Track 1: Reinforcement Learning
Yanchao Sun · shuang ma · Ratnesh Madaan · Rogerio Bonatti · Furong Huang · Ashish Kapoor
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
Dichotomy of Control: Separating What You Can Control from What You Cannot
In Oral 3 Track 1: Reinforcement Learning
Sherry Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum
In-Person Oral presentation / top 5% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
In Oral 3 Track 1: Reinforcement Learning
Michał Zawalski · Michał Tyrolski · Konrad Czechowski · Tomasz Odrzygóźdź · Damian Stachura · Piotr Piękos · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś