Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
1:23
YouTubeGoogle DeepMind
Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
The video shows agents trained using the Asynchronous Advantage Actor-Critic (A3C) algorithm performing a variety of motor control tasks. The tasks successfully learned by the agents include pole swing-up, quadruped locomotion, planar biped walking, balancing, 2D target reaching, and 3D manipulation. Paper link - http://arxiv.org/pdf/1602.01783.pdf
35.7K viewsJun 14, 2016
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