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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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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)Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines., , , , , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 449-464. Springer, (2013)Reinforcement Teaching., , , , and . CoRR, (2022)Augmenting Flight Training with AI to Efficiently Train Pilots., , , , , and . CoRR, (2022)Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities., , , , , , , , , and . J. Artif. Intell. Res., (2024)Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey., , , , , and . CoRR, (2020)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)