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Takamitsu Matsubara — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Takamitsu Matsubara
12
papers ·
25
citations ·
26
h-index
Nara Institute of Science and Technology · Graduate School USA
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport
2021 · 21 citations
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning
2020 · 4 citations
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
2021
$q$-Munchausen Reinforcement Learning
2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning
2022
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization
2022
Top co-authors
Lingwei Zhu
· 3
Lingwei Zhu
· 3
Eiji Uchibe
· 2
Toshinori Kitamura
· 2
Kazuki Shibata
· 1
T. Jimbo
· 1
Yoshihisa Tsurumine
· 1
Yuki Kadokawa
· 1
Zheng Chen
· 1
Zheng Chen
· 1
Topics
Value-Based
Safe RL
Policy Gradient
Multi-Agent
Game AI
Exploration
Meta-RL
Model-Based RL