Old Web
English
Sign In
Acemap
>
authorDetail
>
Kei Ota
Kei Ota
Mitsubishi Electric
Computer science
Reinforcement learning
Motion planning
Artificial intelligence
Trajectory
4
Papers
26
Citations
0.00
KQI
Citation Trend
Filter By
Interval:
1900~2024
1900
2024
Author
Papers (4)
Sort By
Default
Most Recent
Most Early
Most Citation
No data
Journal
Conference
Others
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
2021
ICRA | International Conference on Robotics and Automation
Kei Ota
Devesh K. Jha
Diego Romeres
Jeroen VanBaar
Kevin A. Smith
Takayuki Semitsu
Tomohiro Oiki
Alan Sullivan
Daniel Nikovski
Joshua B. Tenenbaum
Show All
Source
Cite
Save
Citations (1)
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning
2020
ICML | International Conference on Machine Learning
Kei Ota
Tomoaki Oiki
Devesh K. Jha
Toshisada Mariyama
Daniel Nikovski
Show All
Source
Cite
Save
Citations (2)
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path
2020
IROS | Intelligent Robots and Systems
Kei Ota
Yoko Sasaki
Devesh K. Jha
Yusuke Yoshiyasu
Asako Kanezaki
Show All
Source
Cite
Save
Citations (10)
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
2019
IROS | Intelligent Robots and Systems
Kei Ota
Devesh K. Jha
Tomoaki Oiki
Mamoru Miura
Takashi Nammoto
Daniel Nikovski
Toshisada Mariyama
Show All
Source
Cite
Save
Citations (13)
1