Workshop
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Using Hippocampal Replay to Consolidate Experiences in Memory-Augmented Reinforcement Learning Chong Min John Tan · Mehul Motani |
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Poster
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Tue 9:00 |
Giving Feedback on Interactive Student Programs with Meta-Exploration Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn |
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Poster
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Thu 14:00 |
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets Yiyun Luo · Will Wei Sun · Yufeng Liu |
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Workshop
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Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm Marc Höftmann · Jan Robine · Stefan Harmeling |
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Poster
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Thu 14:00 |
BYOL-Explore: Exploration by Bootstrapped Prediction Zhaohan Guo · Shantanu Thakoor · Miruna Pislar · Bernardo Avila Pires · Florent AltchĂ© · Corentin Tallec · Alaa Saade · Daniele Calandriello · Jean-Bastien Grill · Yunhao Tang · Michal Valko · Remi Munos · Mohammad Gheshlaghi Azar · Bilal Piot |
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Poster
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Thu 9:00 |
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards Rati Devidze · Parameswaran Kamalaruban · Adish Singla |
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Poster
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Thu 9:00 |
Dynamic Learning in Large Matching Markets Anand Kalvit · Assaf Zeevi |
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Poster
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Tue 14:00 |
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning Jiexi Yan · Erkun Yang · Cheng Deng · Heng Huang |
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Poster
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Thu 9:00 |
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning Archana Bura · Aria HasanzadeZonuzy · Dileep Kalathil · Srinivas Shakkottai · Jean-Francois Chamberland |
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Poster
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Thu 14:00 |
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL Thomas Carta · Pierre-Yves Oudeyer · Olivier Sigaud · Sylvain Lamprier |
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Poster
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Tue 9:00 |
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward Daejin Jo · Sungwoong Kim · Daniel Nam · Taehwan Kwon · Seungeun Rho · Jongmin Kim · Donghoon Lee |
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Poster
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Wed 9:00 |
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu · Shangqun Yu · Michael Littman · George Konidaris |