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Kei Ota — most-cited papers & profile · Reinforcement Learning
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Kei Ota
2
papers ·
2
citations ·
0
h-index
Mitsubishi Electric (Japan) · Mitsubishi Electric (United States)
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Most-cited papers
Object Memory Transformer for Object Goal Navigation
2022 · 2 citations
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
2021
Top co-authors
Asako Kanezaki
· 2
Hana Hoshino
· 1
Rio Yokota
· 1
Rui Fukushima
· 1
Yoko Sasaki
· 1
Yusuke Yoshiyasu
· 1
Topics
Offline RL
Safe RL
Model-Based RL
Exploration
Value-Based