Paavo Parmas, Takuma Seno, Yuma Aoki, "Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators", 40th International Conference on Machine Learning (ICML), 2023

Takuma Seno, Michita Imai, "d3rlpy: An Offline Deep Reinforcement Learning Library", Journal of Machine Learning Research (JMLR), 315, 1-20, 2022

Paavo Parmas, Takuma Seno, "Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms", 36th Conference on Neural Information Processing Systems (NeurIPS), 2022

James MacGlashan, Evan Archer*, Alisa Devlic*, Takuma Seno*, Craig Sherstan*, Peter R Wurman, Peter Stone, "Value Function Decomposition for Iterative Design of Reinforcement Learning Agents", 36th Conference on Neural Information Processing Systems (NeurIPS), 2022

Peter R Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano. "Outracing champion Gran Turismo drivers with deep reinforcement learning", Nature, 602, 223-228, 2022

Takuma Seno, Michita Imai, "d3rlpy: An Offline Deep Reinforcement Learning Library", NeurIPS Offline Reinforcement Learning Workshop, 2021

Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger, "Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation", NeurIPS Deep Reinforcement Learning Workshop, 2021