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
Takayuki Osa — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Takayuki Osa
8
papers ·
102
citations ·
20
h-index
Tokyo University of Science · RIKEN Center for Advanced Intelligence Project · The University of Tokyo
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
2024 · 1 citations
Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
2026
Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games
2026
Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
2026
Top co-authors
Motoki Omura
· 2
Tatsuya Harada
· 2
Haruki Abe
· 1
Kazuki Ota
· 1
Motoki Omura
· 1
Naoki Shitanda
· 1
Tatsuya Harada
· 1
Tatsuya Harada
· 1
Yusuke Mukuta
· 1
Yusuke Mukuta
· 1
Topics
Policy Gradient
Model-Based RL
Exploration
Game AI
Multi-Agent
Offline RL
Meta-RL
Value-Based