Tomoaki Oiki

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 6

Top Topics

Highly Non Linear

Optimization Process

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Towards Human-Level Learning of Complex Physical Puzzles. CoRR (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR (2020)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR (2019)
Toyotaro Suzumura, Tomoaki Oiki
StreamWeb: Real-Time Web Monitoring with Stream Computing. ICWS (2011)