Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - researchr publication authors

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Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski. Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event. Volume 119 of Proceedings of Machine Learning Research, pages 7424-7433, PMLR, 2020. [doi]

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