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100 Results
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Poster
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Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam · Hongyu Zang · Anirudh Goyal · Alex Lamb · Kenji Kawaguchi · Xin Li · Romain Laroche · Yoshua Bengio · Remi Tachet des Combes |
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Poster
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Tue 9:00 |
Policy Optimization with Linear Temporal Logic Constraints Cameron Voloshin · Hoang Le · Swarat Chaudhuri · Yisong Yue |
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Poster
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Thu 14:00 |
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro · Roberta Raileanu · Danielle Rothermel · Vegard Mella · Tim Rocktäschel · Heinrich Küttler · Naila Murray |
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Competition
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Tue 5:15 |
RL Track - Seung Eun Rho |
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Poster
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Wed 14:00 |
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov |
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Social
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Tue 16:00 |
RL Social |
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Poster
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Wed 9:00 |
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning Dieqiao Feng · Carla Gomes · Bart Selman |
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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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Wed 9:00 |
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters Kamyar Ghasemipour · Shixiang (Shane) Gu · Ofir Nachum |
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Poster
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Tue 9:00 |
Exponential Family Model-Based Reinforcement Learning via Score Matching Gene Li · Junbo Li · Anmol Kabra · Nati Srebro · Zhaoran Wang · Zhuoran Yang |
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Poster
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Distributional Reinforcement Learning for Risk-Sensitive Policies Shiau Hong Lim · ILYAS MALIK |
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Poster
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Wed 9:00 |
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon · JunYeong Lee · Hyun Oh Song |