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強化学習

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Category:機械学習


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  11. ^ Sutton, Richard S. (1984). Temporal Credit Assignment in Reinforcement Learning (PhD thesis). University of Massachusetts, Amherst, MA.
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  20. ^ Sutton, Richard (1990). "Integrated Architectures for Learning, Planning and Reacting based on Dynamic Programming". Machine Learning: Proceedings of the Seventh International Workshop.
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  33. ^ Barto, A. G. (2013). “Intrinsic motivation and reinforcement learning”. Intrinsically Motivated Learning in Natural and Artificial Systems. Berlin; Heidelberg: Springer. pp. 17–47. https://people.cs.umass.edu/~barto/IMCleVer-chapter-totypeset2.pdf 
  34. ^ Dabérius, Kevin; Granat, Elvin; Karlsson, Patrik (2020). “Deep Execution - Value and Policy Based Reinforcement Learning for Trading and Beating Market Benchmarks”. The Journal of Machine Learning in Finance 1. SSRN 3374766. 
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  38. ^ Mnih, Volodymyr (2015). “Human-level control through deep reinforcement learning”. Nature 518 (7540): 529–533. Bibcode2015Natur.518..529M. doi:10.1038/nature14236. PMID 25719670. https://www.semanticscholar.org/paper/e0e9a94c4a6ba219e768b4e59f72c18f0a22e23d. 
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  42. ^ Korkmaz, Ezgi (2022). “Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs.”. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) 36 (7): 7229–7238. doi:10.1609/aaai.v36i7.20684. 
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