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Cross-domain transfer for reinforcement learning.

, and . ICML, volume 227 of ACM International Conference Proceeding Series, page 879-886. ACM, (2007)

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An Exploration Strategy Facing Non-Stationary Agents., , , , and . AAMAS, page 922-923. ACM, (2017)Speeding up Tabular Reinforcement Learning Using State-Action Similarities., , and . AAMAS, page 1722-1724. ACM, (2017)Multi-objectivization of reinforcement learning problems by reward shaping., , , , , and . IJCNN, page 2315-2322. IEEE, (2014)Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning., and . CoRR, (2017)A survey and critique of multiagent deep reinforcement learning., , and . Auton. Agents Multi Agent Syst., 33 (6): 750-797 (2019)An Introduction to Intertask Transfer for Reinforcement Learning., and . AI Magazine, 32 (1): 15-34 (2011)Leveraging human knowledge in tabular reinforcement learning: a study of human subjects., , , and . Knowledge Eng. Review, (2018)Is multiagent deep reinforcement learning the answer or the question? A brief survey., , and . CoRR, (2018)Transfer via inter-task mappings in policy search reinforcement learning., , and . AAMAS, page 37. IFAAMAS, (2007)Abstraction and Generalization in Reinforcement Learning: A Summary and Framework., , and . ALA, volume 5924 of Lecture Notes in Computer Science, page 1-32. Springer, (2009)