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Ryuki Tachibana — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ryuki Tachibana
10
papers ·
385
citations ·
15
h-index
IBM Research - Tokyo
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for High Precision Assembly Tasks
2017 · 301 citations
Internal Model from Observations for Reward Shaping
2018 · 13 citations
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
2017 · 11 citations
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
2020 · 10 citations
Constrained Exploration and Recovery from Experience Shaping
2018 · 2 citations
Top co-authors
Asim Munawar
· 3
Giovanni De Magistris
· 3
Subhajit Chaudhury
· 3
Daiki Kimura
· 2
Tu-Hoa Pham
· 2
Don Joven Agravante
· 1
Kartik Talamadupula
· 1
Michiaki Tatsubori
· 1
Sakyasingha Dasgupta
· 1
Tadanobu Inoue
· 1
Tsuyoshi Yokoya
· 1
Topics
Model-Based RL
Safe RL
Game AI
Policy Gradient
Offline RL
Exploration
Value-Based
Meta-RL