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Ryuichi Takanobu — most-cited papers & profile · Reinforcement Learning
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overview
Ryuichi Takanobu
4
papers ·
73
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
2020 · 46 citations
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
2019 · 27 citations
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning
2019
Top co-authors
Minlie Huang
· 3
Bo Zheng
· 1
Haihong Tang
· 1
Hanlin Zhu
· 1
Jun Feng
· 1
Tao Zhuang
· 1
Topics
Policy Gradient
Model-Based RL
Multi-Agent
Value-Based
RLHF & Alignment