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Takuma Seno
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2020 – today
- 2024
- [j3]Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone:
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. RLJ 4: 1674-1710 (2024) - [i5]Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone:
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. CoRR abs/2406.12563 (2024) - [i4]Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno:
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. CoRR abs/2410.09754 (2024) - 2023
- [c5]Paavo Parmas, Takuma Seno, Yuma Aoki:
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators. ICML 2023: 27346-27377 - 2022
- [j2]Takuma Seno, Michita Imai:
d3rlpy: An Offline Deep Reinforcement Learning Library. J. Mach. Learn. Res. 23: 315:1-315:20 (2022) - [j1]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 Raj 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. Nat. 602(7896): 223-228 (2022) - [c4]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. NeurIPS 2022 - [c3]Paavo Parmas, Takuma Seno:
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms. NeurIPS 2022 - [i3]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. CoRR abs/2206.13901 (2022) - 2021
- [i2]Takuma Seno, Michita Imai:
d3rlpy: An Offline Deep Reinforcement Learning Library. CoRR abs/2111.03788 (2021) - [i1]Ryuji Imamura, Takuma Seno, Kenta Kawamoto, Michael Spranger:
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation. CoRR abs/2111.06449 (2021)
2010 – 2019
- 2018
- [c2]Takuma Seno, Kohei Okuoka, Masahiko Osawa, Michita Imai:
Adaptive Semi-autonomous Agents via Episodic Control. HAI 2018: 377-379 - 2017
- [c1]Masahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai, Satoshi Kurihara:
Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex. ICONIP (1) 2017: 608-617
Coauthor Index
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last updated on 2024-11-27 21:25 CET by the dblp team
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