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13 Results
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Poster
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Tue 18:30 |
Multi-objective Optimization by Learning Space Partition Yiyang Zhao · Linnan Wang · Kevin Yang · Tianjun Zhang · Tian Guo · Yuandong Tian |
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Poster
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Tue 18:30 |
Pareto Policy Pool for Model-based Offline Reinforcement Learning Yijun Yang · Jing Jiang · Tianyi Zhou · Jie Ma · Yuhui Shi |
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Poster
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Thu 2:30 |
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization Xi Lin · Zhiyuan Yang · Qingfu Zhang |
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Workshop
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Multi-objective evolution for Generalizable Policy Gradient Algorithms Juan Jose Garau-Luis · Yingjie Miao · John Co-Reyes · Aaron Parisi · Jie Tan · Esteban Real · Aleksandra Faust |
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Workshop
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Compositional Multi-object Reinforcement Learning with Linear Relation Networks Davide Mambelli · Frederik Träuble · Stefan Bauer · Bernhard Schoelkopf · Francesco Locatello |
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Workshop
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Compositional Multi-Object Reinforcement Learning with Linear Relation Networks Davide Mambelli · Frederik Träuble · Stefan Bauer · Bernhard Schoelkopf · Francesco Locatello |
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Poster
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Wed 18:30 |
Optimization inspired Multi-Branch Equilibrium Models Mingjie Li · Yisen Wang · Xingyu Xie · Zhouchen Lin |
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Workshop
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Object-Centric Learning as Nested Optimization Michael Chang · Sergey Levine · Thomas L. Griffiths |
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Poster
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Wed 10:30 |
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach Prashant Khanduri · Haibo Yang · Mingyi Hong · Jia Liu · Hoi To Wai · Sijia Liu |
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Poster
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Mon 18:30 |
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming Sachin Konan · Esmaeil Seraj · Matthew Gombolay |
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Poster
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Tue 10:30 |
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou · Wei Fu · Bingliang Zhang · Yi Wu |
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Workshop
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An evaluation framework for the objective functions of de novo drug design benchmarks Austin Tripp · Wenlin Chen · José Miguel Hernández Lobato |