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Takuya Hiraoka — most-cited papers & profile · Reinforcement Learning
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Takuya Hiraoka
10
papers ·
27
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
2021 · 19 citations
Meta-Model-Based Meta-Policy Optimization
2020 · 4 citations
Learning Robust Options by Conditional Value at Risk Optimization
2019 · 2 citations
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
2021 · 2 citations
Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
2025
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings
2017
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
2023
Unsupervised Discovery of Continuous Skills on a Sphere
2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
2023
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
2024
Top co-authors
Yoshimasa Tsuruoka
· 8
Takahisa Imagawa
· 5
Takashi Onishi
· 5
Guanquan Wang
· 2
Masaaki Tsuchida
· 1
Taisei Hashimoto
· 1
Takayuki Osa
· 1
Tatsuya Mori
· 1
Voot Tangkaratt
· 1
Yotaro Watanabe
· 1
Topics
Value-Based
Offline RL
Policy Gradient
Model-Based RL
Meta-RL
Safe RL
Exploration