| 2024 | IJCNN | Consolidated Adaptive T-soft Update for Deep Reinforcement Learning. | Taisuke Kobayashi |
| 2023 | IROS | Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. | Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara |
| 2022 | IROS | L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning. | Taisuke Kobayashi |
| 2021 | IAS | Adaptive Eligibility Traces for Online Deep Reinforcement Learning. | Taisuke Kobayashi |
| 2021 | ICRA | Proximal Policy Optimization with Relative Pearson Divergence. | Taisuke Kobayashi |
| 2021 | IROS | Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. | Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto |
| 2019 | ICANN | Variational Deep Embedding with Regularized Student-t Mixture Model. | Taisuke Kobayashi |
| 2019 | ICANN | Continual Learning Exploiting Structure of Fractal Reservoir Computing. | Taisuke Kobayashi, Toshiki Sugino |
| 2018 | ICANN | Check Regularization: Combining Modularity and Elasticity for Memory Consolidation. | Taisuke Kobayashi |
| 2018 | ICANN | Practical Fractional-Order Neuron Dynamics for Reservoir Computing. | Taisuke Kobayashi |
| 2018 | SMC | Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation. | Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto |
| 2016 | ICRA | Unified bipedal gait for walking and running by dynamics-based virtual holonomic constraint in PDAC. | Taisuke Kobayashi, Yasuhisa Hasegawa, Kosuke Sekiyama, Tadayoshi Aoyama, Toshio Fukuda |
| 2016 | IROS | Quasi-passive dynamic autonomous control to enhance horizontal and turning gait speed control. | Taisuke Kobayashi, Kosuke Sekiyama, Yasuhisa Hasegawa, Tadayoshi Aoyama, Toshio Fukuda |
| 2015 | ICRA | Optimal use of arm-swing for bipedal walking control. | Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Toshio Fukuda |
| 2013 | IROS | Locomotion selection strategy for multi-locomotion robot based on stability and efficiency. | Taisuke Kobayashi, Tadayoshi Aoyama, Masafumi Sobajima, Kosuke Sekiyama, Toshio Fukuda |
| 2012 | IROS | Locomotion selection of Multi-Locomotion Robot based on Falling Risk and moving efficiency. | Taisuke Kobayashi, Tadayoshi Aoyama, Kosuke Sekiyama, Zhiguo Lu, Yasuhisa Hasegawa, Toshio Fukuda |
| 2012 | IROS | Optimal control of energetically efficient ladder decent motion with internal stress adjustment using key joint method. | Zhiguo Lu, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Taisuke Kobayashi, Toshio Fukuda |