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Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment.

, , , and . AAAI, page 2504-2510. AAAI Press, (2015)

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Multi-objectivization of reinforcement learning problems by reward shaping., , , , , and . IJCNN, page 2315-2322. IEEE, (2014)Speeding up Tabular Reinforcement Learning Using State-Action Similarities., , and . AAMAS, page 1722-1724. ACM, (2017)An Exploration Strategy Facing Non-Stationary Agents., , , , and . AAMAS, page 922-923. ACM, (2017)Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning., and . CoRR, (2017)Leveraging human knowledge in tabular reinforcement learning: A study of human subjects., , , and . CoRR, (2018)Is multiagent deep reinforcement learning the answer or the question? A brief survey., , and . CoRR, (2018)Transfer Learning for Reinforcement Learning Domains: A Survey, and . Journal of Machine Learning Research, (2009)When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty., , , , and . AAMAS, page 109-116. IFAAMAS, (2010)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)Keepaway Soccer: From Machine Learning Testbed to Benchmark., , , and . RoboCup, volume 4020 of Lecture Notes in Computer Science, page 93-105. Springer, (2005)