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Opponent learning awareness and modelling in multi-objective normal form games.

, , , , , and . Neural Comput. Appl., 34 (3): 1759-1781 (2022)

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A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , and 8 other author(s). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making.. AAMAS, page 2207-2208. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences., , , and . AAMAS, page 1098-1106. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey., , , and . CoRR, (2019)Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)., , , , , , , , , and 2 other author(s). Auton. Agents Multi Agent Syst., 36 (2): 41 (2022)Special issue on adaptive and learning agents 2020., , , , and . Neural Comput. Appl., 34 (3): 1649-1651 (2022)A utility-based analysis of equilibria in multi-objective normal-form games., , , , and . Knowl. Eng. Rev., (2020)Special issue on adaptive and learning agents 2019., , , and . Knowl. Eng. Rev., (2020)Toll-based reinforcement learning for efficient equilibria in route choice., , , , and . Knowledge Eng. Review, (2020)Analysing Congestion Problems in Multi-agent Reinforcement Learning., , and . CoRR, (2017)