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A practical guide to multi-objective reinforcement learning and planning.

, , , , , , , , , , , , , , , , , и . Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)

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Conor McBride

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Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning., , , , и . Auton. Agents Multi Agent Syst., 37 (2): 26 (октября 2023)A Practical Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , и 8 other автор(ы). CoRR, (2021)Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models., , , , и . CoRR, (2022)Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making., , , , и . CoRR, (2021)Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search., , , , и . CoRR, (2021)A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , и 8 other автор(ы). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Decision-Theoretic Planning for the Expected Scalarised Returns., , , и . AAMAS, стр. 1621-1623. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Actor-critic multi-objective reinforcement learning for non-linear utility functions., , , , и . Auton. Agents Multi Agent Syst., 37 (2): 23 (октября 2023)Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)., , , , , , , , , и 2 other автор(ы). CoRR, (2021)Distributional Multi-Objective Decision Making., , , , , и . IJCAI, стр. 5711-5719. ijcai.org, (2023)