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Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population., , , , and . BNCAI, volume 1021 of Communications in Computer and Information Science, page 90-105. Springer, (2018)Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors., , , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Computing Convex Coverage Sets for Multi-objective Coordination Graphs., , and . ADT, volume 8176 of Lecture Notes in Computer Science, page 309-323. Springer, (2013)Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits., , , , , and . AAMAS Workshops (Visionary Papers), volume 10643 of Lecture Notes in Computer Science, page 67-85. Springer, (2017)Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey., , , and . AAMAS, page 2158-2160. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Bridging the Gap Between Single and Multi Objective Games., , , , and . AAMAS, page 224-232. ACM, (2023)Distributional Multi-Objective Decision Making., , , , , and . IJCAI, page 5711-5719. ijcai.org, (2023)Grammar-based Procedural Content Generation from Designer-provided Difficulty Curves., , and . FDG, Society for the Advancement of the Science of Digital Games, (2015)Probability estimation and a competence model for rule based e-tutoring systems., , and . LAK, page 255-258. ACM, (2012)Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games., , , , , and . CoRR, (2020)