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Potential-based Shaping in Model-based Reinforcement Learning.

, , and . AAAI, page 604-609. AAAI Press, (2008)

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Removing the Target Network from Deep Q-Networks with the Mellowmax Operator., , , and . AAMAS, page 2060-2062. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Measuring Praise and Criticism: Inference of Semantic Orientation from Association, and . CoRR, (2003)Combining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems, , , and . CoRR, (2003)Introduction to the special issue on empirical evaluations in reinforcement learning., and . Mach. Learn., 84 (1-2): 1-6 (2011)Lipschitz Continuity in Model-based Reinforcement Learning., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 264-273. PMLR, (2018)Markov Games as a Framework for Multi-Agent Reinforcement Learning.. ICML, page 157-163. Morgan Kaufmann, (1994)ATTac-2001: A Learning, Autonomous Bidding Agent., , , , and . AMEC, volume 2531 of Lecture Notes in Computer Science, page 143-160. Springer, (2002)An Alternative Softmax Operator for Reinforcement Learning., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 243-252. PMLR, (2017)Knows what it knows: a framework for self-aware learning., , , and . Mach. Learn., 82 (3): 399-443 (2011)Control of mental representations in human planning., , , , , and . CoRR, (2021)