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Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models., , , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 463-478. Springer, (2020)A Brief Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , and 8 other author(s). AAMAS, page 1988-1990. ACM, (2023)A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , and 8 other author(s). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search., , , , and . CoRR, (2021)Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning., , , and . AAMAS, page 1524-1526. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning., , , , and . Auton. Agents Multi Agent Syst., 37 (2): 26 (October 2023)Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning., , , , , and . CoRR, (2024)A Practical Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , and 8 other author(s). CoRR, (2021)Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning., , , and . CoRR, (2021)Pareto Conditioned Networks., , and . AAMAS, page 1110-1118. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)