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Asako Kanezaki — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Asako Kanezaki
11
papers ·
68
citations ·
19
h-index
Tokyo Institute of Technology · Tohoku University · RIKEN · Institute of Science Tokyo
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Most-cited papers
Training Larger Networks for Deep Reinforcement Learning
2021 · 10 citations
Deep Reactive Planning in Dynamic Environments
2020 · 5 citations
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
Devesh K. Jha
· 2
Kei Ota
· 2
Kei Ota
· 2
Yoko Sasaki
· 2
Yusuke Yoshiyasu
· 2
Daniel Nikovski
· 1
Hana Hoshino
· 1
Rio Yokota
· 1
Rui Fukushima
· 1
Tadashi Onishi
· 1
Toshisada Mariyama
· 1
Topics
Exploration
Model-Based RL
Value-Based
Policy Gradient
Meta-RL
Game AI
Offline RL
Safe RL