Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations - researchr publication authors

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Ke Sun 0013, Yingnan Zhao, Shangling Jui, Linglong Kong. Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Volume 14173 of Lecture Notes in Computer Science, pages 36-51, Springer, 2023. [doi]

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