Takuma Seno

According to our database, Takuma Seno authored at least 8 papers between 2017 and 2023.

Collaborative distances:

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

2023

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators.

Paavo Parmas, Takuma Seno, Yuma Aoki

Proceedings of the International Conference on Machine Learning, 2023

2022

Outracing champion Gran Turismo drivers with deep reinforcement learning.

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

Nat., 2022

d3rlpy: An Offline Deep Reinforcement Learning Library.

Takuma Seno, Michita Imai

J. Mach. Learn. Res., 2022

Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms.

Paavo Parmas, Takuma Seno

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.

James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, Peter Stone

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation.

Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger

CoRR, 2021

2018

Adaptive Semi-autonomous Agents via Episodic Control.

Takuma Seno, Kohei Okuoka, Masahiko Osawa, Michita Imai

Proceedings of the 6th International Conference on Human-Agent Interaction, 2018

2017

Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex.

Masahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai, Satoshi Kurihara

Proceedings of the Neural Information Processing - 24th International Conference, 2017