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207 Results
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Workshop
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Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) Amartya Mukherjee · Jun Liu |
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Poster
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Thu 16:30 |
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He · Heyang Zhao · Dongruo Zhou · Quanquan Gu |
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Poster
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Wed 17:00 |
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao · Zhuoran Yang · Zhaoran Wang · Jason Lee |
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Poster
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Tue 14:00 |
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani · Alberto Maria Metelli · Marcello Restelli |
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Poster
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Thu 16:30 |
Performative Reinforcement Learning Debmalya Mandal · Stelios Triantafyllou · Goran Radanovic |
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Workshop
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Fri 12:45 |
Emergent deception and skepticism via theory of mind Lion Schulz · Nitay Alon · Jeffrey Rosenschein · Peter Dayan |
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Poster
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Tue 17:00 |
Model-based Offline Reinforcement Learning with Count-based Conservatism Byeongchan Kim · Min-hwan Oh |
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Workshop
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Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang · Yanchao Sun · Ruijie Zheng · Xiangyu Liu · Tuomas Sandholm · Furong Huang · Stephen Mcaleer |
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Workshop
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Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models Stephen Mak · Kyle Mana · Parisa Zehtabi · Michael Cashmore · Daniele Magazzeni · Manuela Veloso |
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Poster
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Tue 17:00 |
Posterior Sampling for Deep Reinforcement Learning Remo Sasso · Michelangelo Conserva · Paulo Rauber |
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Workshop
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A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan · Tao Li · Henger Li · Tianyi Xu · Quanyan Zhu · Zizhan Zheng |
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Workshop
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A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning Shixi Lian · Yi Ma · Jinyi Liu · Jianye Hao · Yan Zheng · Zhaopeng Meng |