Search Results

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Main Conference Track   Datasets and Benchmarks Track

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• (2023) A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning Florian Felten, Lucas N. Alegre, Ann Nowe, Ana Bazzan, El Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
• (2023) Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning Fan Feng, Sara Magliacane
• (2023) Distributional Pareto-Optimal Multi-Objective Reinforcement Learning Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
• (2022) Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
• (2021) Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning Jingfeng Wu, Vladimir Braverman, Lin Yang
• (2021) Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
• (2019) A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang, Xingyuan Sun, Karthik Narasimhan