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54 Results
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Poster
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Tue 14:00 |
Deep Hierarchical Planning from Pixels Danijar Hafner · Kuang-Huei Lee · Ian Fischer · Pieter Abbeel |
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Poster
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Thu 14:00 |
PDSketch: Integrated Domain Programming, Learning, and Planning Jiayuan Mao · Tomás Lozano-Pérez · Josh Tenenbaum · Leslie Kaelbling |
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Competition
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Thu 6:00 |
Weather4cast - Lessons Learned and Future Plans Aleksandra Gruca · David Kreil · Federico Serva |
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Poster
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Wed 9:00 |
Self-Explaining Deviations for Coordination Hengyuan Hu · Samuel Sokota · David Wu · Anton Bakhtin · Andrei Lupu · Brandon Cui · Jakob Foerster |
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Poster
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Thu 9:00 |
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning HYUNWOOK KANG · Taehwan Kwon · Jinkyoo Park · James R. Morrison |
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Poster
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Thu 9:00 |
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret Orestis Papadigenopoulos · Constantine Caramanis · Sanjay Shakkottai |
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Poster
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Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning Zifan Wu · Chao Yu · Chen Chen · Jianye Hao · Hankz Hankui Zhuo |
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Poster
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Wed 14:00 |
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions Tian Tian · Kenny Young · Richard Sutton |
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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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Poster
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Thu 9:00 |
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding Ruipeng Zhang · Chenning Yu · Jingkai Chen · Chuchu Fan · Sicun Gao |
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Workshop
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LAD: Language Augmented Diffusion for Reinforcement Learning Edwin Zhang · Yujie Lu · William Yang Wang · Amy Zhang |
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Poster
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Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin · Alexander Kolesov · Evgeny Burnaev |