Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation. - Takumi Aotani; Taisuke Kobayashi; Kenji Sugimoto (SMC, 2018)

Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation. - Taisuke Kobayashi; Takumi Aotani; Julio Rogelio Guadarrama-Olvera; Emmanuel C. Dean-Leon; Gordon Cheng (ICDL-EPIROB, 2019)

Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning. - Takumi Aotani; Taisuke Kobayashi; Kenji Sugimoto (IEEE Access, 2021)

Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks. - Takumi Aotani; Taisuke Kobayashi; Kenji Sugimoto (Appl. Intell., 2021)

Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency. - Taisuke Kobayashi; Takumi Aotani (Adv. Robotics, 2023)

Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning. - Takumi Aotani; Taisuke Kobayashi (SII, 2024)

Special Issue on Control and Applications of Multi-Agent Systems. - Koichi Osuka; Yusuke Tsunoda; Wataru Imahayashi; Takumi Aotani (J. Robotics Mechatronics, 2024)