| Robust stochastic gradient descent with student-t distribution based first-order momentum WEL Ilboudo, T Kobayashi, K Sugimoto IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1324-1337, 2020 | 51 | 2020 |
| T-soft update of target network for deep reinforcement learning T Kobayashi, WEL Ilboudo Neural Networks 136, 63-71, 2021 | 32 | 2021 |
| Adaterm: Adaptive t-distribution estimated robust moments towards noise-robust stochastic gradient optimizer WEL Ilboudo, T Kobayashi, T Matsubara Available at SSRN 4349092, 2022 | 11 | 2022 |
| Tadam: A robust stochastic gradient optimizer WEL Ilboudo, T Kobayashi, K Sugimoto arXiv preprint arXiv:2003.00179, 2020 | 9 | 2020 |
| Adaterm: Adaptive t-distribution estimated robust moments for noise-robust stochastic gradient optimization WEL Ilboudo, T Kobayashi, T Matsubara Neurocomputing 557, 126692, 2023 | 4 | 2023 |
| Adaptive t-momentum-based optimization for unknown ratio of outliers in amateur data in imitation learning WEL Ilboudo, T Kobayashi, K Sugimoto 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 4 | 2021 |
| Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness WEL Ilboudo, T Kobayashi, T Matsubara 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| Improving Robustness of Stochastic Gradient Descent Optimizers against Real-world Heavy-tailed Datasets ELI Wendyam Nara Institute of Science and Technology, 2021 | | 2021 |
| Robust Imitation Learning from Amateur-Expert-mixed Demonstrations WEL ILBOUDO, H FUJIISHI, T KOBAYASHI, K SUGIMOTO 日本ロボット学会学術講演会予稿集 (CD-ROM) 38, 1-5, 2020 | | 2020 |
Taisuke KobayashiNational Institute of InformaticsVerified email at nii.ac.jp
