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
Takashi Onishi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Takashi Onishi
8
papers ·
40
citations ·
8
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
2021 · 19 citations
Hierarchical Reinforcement Learning with Abductive Planning
2018 · 10 citations
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning
2019 · 4 citations
Meta-Model-Based Meta-Policy Optimization
2020 · 4 citations
Learning Robust Options by Conditional Value at Risk Optimization
2019 · 2 citations
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
2022 · 1 citations
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
2023
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
2024
Top co-authors
Yoshimasa Tsuruoka
· 8
Takuya Hiraoka
· 5
Takahisa Imagawa
· 3
Shumpei Kubosawa
· 2
Guanquan Wang
· 1
Kazeto Yamamoto
· 1
Makoto Sakahara
· 1
Taisei Hashimoto
· 1
Takayuki Osa
· 1
Tatsuya Mori
· 1
Voot Tangkaratt
· 1
Topics
Value-Based
Model-Based RL
Safe RL
Policy Gradient
Meta-RL
Offline RL
Exploration