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Taisuke Kobayashi

Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning
Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks
Reward-punishment actor-critic algorithm applying to robotic non-grasping manipulation
Bottom-up multi-agent reinforcement learning for selective cooperation
Learning of Correlation in Decentralized Robots with Individual Tasks

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