Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Takahisa Imagawa — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Takahisa Imagawa
6
papers ·
28
citations ·
4
h-index
Kyushu Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
2021 · 19 citations
Meta-Model-Based Meta-Policy Optimization
2020 · 4 citations
Learning Robust Options by Conditional Value at Risk Optimization
2019 · 2 citations
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
2021 · 2 citations
Optimistic Proximal Policy Optimization
2019 · 1 citations
Unsupervised Discovery of Continuous Skills on a Sphere
2023
Top co-authors
Yoshimasa Tsuruoka
· 6
Takuya Hiraoka
· 5
Takashi Onishi
· 3
Taisei Hashimoto
· 1
Takayuki Osa
· 1
Tatsuya Mori
· 1
T. HIRAOKA
· 1
Voot Tangkaratt
· 1
Topics
Meta-RL
Value-Based
Policy Gradient
Model-Based RL
Exploration
Safe RL
Offline RL