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I just saw this video on Youtube.

On what principle did Google's DeepMind learn to walk?

Was it Q-Learning or a Genetic Algorithm or Policy Gradient?

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The full method is explained in the paper Emergence of Locomotion Behaviours in Rich Environments by the DeepMind team.

Quoting from that paper:

Using a novel scalable variant of policy gradient reinforcement learning, our agents learn to run, jump, crouch and turn as required by the environment . . .

So to answer your question, the researchers used a policy gradient method.

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