Learning Humanoid Locomotion

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Learning Humanoid Locomotion

Learning Humanoid Locomotion

This research applies our reinforcement learning methods to learning locomotion by a human-size humanoid robot. A new learning scheme is studied where the robot is embedded with a primitive balancing controller during learning.

In this research, we collaborate with ATR Computational Neuroscience Laboratories and Prof. Sang-Ho Hyon.

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