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14 Results
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Poster
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Tue 9:00 |
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data Allen Nie · Yannis Flet-Berliac · Deon Jordan · William Steenbergen · Emma Brunskill |
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Poster
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Tue 14:00 |
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification Stephanie Schoch · Haifeng Xu · Yangfeng Ji |
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Workshop
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Confidence-Conditioned Value Functions for Offline Reinforcement Learning Joey Hong · Aviral Kumar · Sergey Levine |
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Workshop
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Confidence-Conditioned Value Functions for Offline Reinforcement Learning Joey Hong · Aviral Kumar · Sergey Levine |
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Poster
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Thu 14:00 |
Approximate Value Equivalence Christopher Grimm · Andre Barreto · Satinder Singh |
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Workshop
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Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet · Laurence Midgley · Alexandre Laterre |
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Poster
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Thu 9:00 |
A Unifying Framework of Off-Policy General Value Function Evaluation Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin Liang |
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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 |
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Poster
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Tue 14:00 |
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents James MacGlashan · Evan Archer · Alisa Devlic · Takuma Seno · Craig Sherstan · Peter Wurman · Peter Stone |
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Poster
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Wed 14:00 |
Exploring through Random Curiosity with General Value Functions Aditya Ramesh · Louis Kirsch · Sjoerd van Steenkiste · Jürgen Schmidhuber |
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Workshop
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Fri 9:00 |
ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm |
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Poster
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Wed 9:00 |
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation Philip Amortila · Nan Jiang · Dhruv Madeka · Dean Foster |