Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
Toggle Poster Visibility
In-Person Oral presentation / top 25% paper
Tue May 02 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Planning Goals for Exploration
In Oral 4 Track 3: Reinforcement Learning I
Edward Hu · Richard Chang · Oleh Rybkin · Dinesh Jayaraman
In-Person Oral presentation / top 25% paper
Tue May 02 06:10 AM -- 06:20 AM (PDT) @ AD12 None
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
In Oral 4 Track 3: Reinforcement Learning I
Daesol Cho · Seungjae Lee · H. Kim
In-Person Oral presentation / top 25% paper
Tue May 02 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
In Oral 4 Track 3: Reinforcement Learning I
Onno Eberhard · Jakob Hollenstein · Cristina Pinneri · Georg Martius
[ Slides] 
In-Person Oral presentation / top 25% paper
Tue May 02 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
In Oral 4 Track 3: Reinforcement Learning I
Nico Gürtler · Sebastian Blaes · Pavel Kolev · Felix Widmaier · Manuel Wuthrich · Stefan Bauer · Bernhard Schoelkopf · Georg Martius
In-Person Oral presentation / top 25% paper
Tue May 02 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Choreographer: Learning and Adapting Skills in Imagination
In Oral 4 Track 3: Reinforcement Learning I
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Alexandre Lacoste · Sai Rajeswar
In-Person Oral presentation / top 25% paper
Tue May 02 06:50 AM -- 07:00 AM (PDT) @ AD12 None
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
In Oral 4 Track 3: Reinforcement Learning I
Vanshaj Khattar · Yuhao Ding · Bilgehan Sel · Javad Lavaei · Ming Jin
In-Person Oral presentation / top 5% paper
Tue May 02 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
In Oral 4 Track 3: Reinforcement Learning I
Joey Hong · Aviral Kumar · Sergey Levine
In-Person Oral presentation / top 5% paper
Tue May 02 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Extreme Q-Learning: MaxEnt RL without Entropy
In Oral 4 Track 3: Reinforcement Learning I
Divyansh Garg · Joey Hejna · Matthieu Geist · Stefano Ermon