Motoki Omura

According to our database, Motoki Omura authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning.

Naoki Shitanda, Motoki Omura, Tatsuya Harada, Takayuki Osa

CoRR, March, 2026

Resource-Efficient Model-Free Reinforcement Learning for Board Games.

Kazuki Ota, Takayuki Osa, Motoki Omura, Tatsuya Harada

CoRR, February, 2026

2025

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps.

Motoki Omura, Yusuke Mukuta, Kazuki Ota, Takayuki Osa, Tatsuya Harada

CoRR, July, 2025

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning.

Motoki Omura, Kazuki Ota, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Entropy Controllable Direct Preference Optimization.

Motoki Omura, Yasuhiro Fujita, Toshiki Kataoka

CoRR, 2024

Stabilizing Extreme Q-learning by Maclaurin Expansion.

Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

RLJ, 2024

Latent Space Curriculum Reinforcement Learning in High-Dimensional Contextual Spaces and Its Application to Robotic Piano Playing.

Haruki Abe, Takayuki Osa, Motoki Omura, Jen-Yen Chang, Tatsuya Harada

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning.

Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024