Takahisa Imagawa

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Upper Confidence Bound

Reinforcement Learning

Top Venues

Computers and Games

Publications

Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
Unsupervised Discovery of Continuous Skills on a Sphere. CoRR (2023)
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. ICLR (2022)
Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference. IEEE Access 10 (2022)
Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. CoRR (2021)
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. CoRR (2021)
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka
Meta-Model-Based Meta-Policy Optimization. ACML (2021)
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka
Meta-Model-Based Meta-Policy Optimization. CoRR (2020)
Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
Optimistic Proximal Policy Optimization. CoRR (2019)
Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka
Learning Robust Options by Conditional Value at Risk Optimization. NeurIPS (2019)
Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka
Learning Robust Options by Conditional Value at Risk Optimization. CoRR (2019)
Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. CoRR (2018)
Takahisa Imagawa, Tomoyuki Kaneko
Estimating the Maximum Expected Value through Upper Confidence Bound of Likelihood. TAAI (2017)
Takahisa Imagawa, Tomoyuki Kaneko
Monte Carlo Tree Search with Robust Exploration. Computers and Games (2016)
Takahisa Imagawa, Tomoyuki Kaneko
Enhancements in Monte Carlo tree search algorithms for biased game trees. CIG (2015)