Osa, Takayuki

9 publications

ICML 2025 Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Motoki Omura, Kazuki Ota, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

ICML 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning Takayuki Osa, Tatsuya Harada

TMLR 2024 Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training Jen-Yen Chang, Thomas Westfechtel, Takayuki Osa, Tatsuya Harada

AAAI 2024 Symmetric Q-Learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

TMLR 2023 Offline Reinforcement Learning with Mixture of Deterministic Policies Takayuki Osa, Akinobu Hayashi, Pranav Deo, Naoki Morihira, Takahide Yoshiike

ACML 2021 Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka

ICLR 2019 Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama

AAAI 2018 Hierarchical Policy Search via Return-Weighted Density Estimation Takayuki Osa, Masashi Sugiyama

CoRL 2017 Active Incremental Learning of Robot Movement Primitives Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters