Statistics
Publications
3
Citations
62
H-Index
3
Active since
2019
Affiliations
Tomoaki Oiki is an author at Mitsubishi Electric (United States) specializing in policy learning, reinforcement learning, and computer science.
Publications per year
2019–2021
3
3
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
Kei Ota, Devesh K. Jha, Tomoaki Oiki et al. · 2019 · 31 citations
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Kei Ota, Tomoaki Oiki, Devesh K. Jha et al. · arXiv (Cornell University) · 2020 · 15 citations · Full text
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