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Leveraging human knowledge in tabular reinforcement learning: a study of human subjects.

, , , and . Knowledge Eng. Review, (2018)

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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 . Knowledge Eng. Review, (2018)Transfer via inter-task mappings in policy search reinforcement learning., , and . AAMAS, page 37. IFAAMAS, (2007)Is multiagent deep reinforcement learning the answer or the question? A brief survey., , and . CoRR, (2018)When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty., , , , and . AAMAS, page 109-116. IFAAMAS, (2010)Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL., , and . CoRR, (2018)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)Pre-training with non-expert human demonstration for deep reinforcement learning., , and . Knowledge Eng. Review, (2019)Autonomously Reusing Knowledge in Multiagent Reinforcement Learning., , and . IJCAI, page 5487-5493. ijcai.org, (2018)