| Outracing champion Gran Turismo drivers with deep reinforcement learning PR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ... Nature 602 (7896), 223-228, 2022 | 399 | 2022 |
| d3rlpy: An Offline Deep Reinforcement Learning Library T Seno, M Imai Journal of Machine Learning Research 23 (315), 1-20, 2022 | 150 | 2022 |
| Value Function Decomposition for Iterative Design of Reinforcement Learning Agents J MacGlashan, E Archer, A Devlic, T Seno, C Sherstan, PR Wurman, ... Advances in Neural Information Processing Systems 36, 2022 | 8 | 2022 |
| Accumulator based arbitration model for both supervised and reinforcement learning inspired by prefrontal cortex M Osawa, Y Ashihara, T Seno, M Imai, S Kurihara Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 6 | 2017 |
| Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators P Parmas, T Seno, Y Aoki Proceedings of the 40th International Conference on Machine Learning, 27346 …, 2023 | 5 | 2023 |
| Adaptive semi-autonomous agents via episodic control T Seno, K Okuoka, M Osawa, M Imai Proceedings of the 6th International Conference on Human-Agent Interaction …, 2018 | 5 | 2018 |
| Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation R Imamura, T Seno, K Kawamoto, M Spranger NeurIPS Deep Reinforcement Learning Workshop, 2021 | 3 | 2021 |
| Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms P Parmas, T Seno Advances in Neural Information Processing Systems 36, 2022 | 2 | 2022 |
| 予測的認知と 「間」 の関係ーー言葉を話せないロボットによるしりとりを題材とした考察 大藤聖菜， 妹尾卓磨， 清丸寛一， 川崎邦将， 大澤正彦， 長田茂美， ... HAI シンポジウム 2017, 2017 | 2 | 2017 |
| Policy gradients with memory-augmented critic: Stabilizing off-policy policy gradients via differentiable memory T Seno, M Imai Transactions of the Japanese Society for Artificial Intelligence 36 (1), 1-8, 2021 | 1 | 2021 |
| An Intrinsically Motivated Robot Explores Non-reward Environments with Output Arbitration T Seno, M Osawa, M Imai Biologically Inspired Cognitive Architectures 2018: Proceedings of the Ninth …, 2019 | 1 | 2019 |
| Artificial intelligence for driving lines in racing games P Wurman, K Subramanian, F Fuchs, T Seno, K Kawamoto US Patent 12,083,429, 2024 | | 2024 |
| A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo M Vasco, T Seno, K Kawamoto, K Subramanian, PR Wurman, P Stone arXiv preprint arXiv:2406.12563, 2024 | | 2024 |
| 高精度レーシングシミュレータへの深層強化学習の応用: Gran Turismo Sophy™ 妹尾卓磨， 河本献太 人工知能 38 (5), 628-636, 2023 | | 2023 |
| A Study on Designing a Deep Reinforcement Learning Library towards Practical Applications T Seno Keio University, 2023 | | 2023 |
| 画像キャプションに対する表現学習に向けた敵対的生成ネットワーク 阿部佑樹， 妹尾卓磨， 松森匠哉， 今井倫太 人工知能学会全国大会論文集 第 33 回 (2019), 3Rin230-3Rin230, 2019 | | 2019 |
| 会議報告 2018 the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2018) 松森匠哉， 妹尾卓磨， 大澤正彦， 山川宏 人工知能 33 (6), 911-912, 2018 | | 2018 |
| 深層強化学習によるロボットの無報酬な環境の探索 妹尾卓磨， 大澤正彦， 今井倫太 第 80 回全国大会講演論文集 2018 (1), 223-224, 2018 | | 2018 |
| 複数の潜在変数を用いた表現学習モデルMPVAEの提案 石川敬規， 妹尾卓磨， 今井倫太 HAI シンポジウム, 2018 | | 2018 |
| 条件付き画像キャプショニングに向けた敵対的生成ネットワークの検討 阿部佑樹， 松森匠哉， 妹尾卓磨， 今井倫太 HAI シンポジウム, 2018 | | 2018 |
Michita ImaiKeio UniversityVerified email at keio.jp
