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End To End Neural Network Policy Learning For Quadruped Locomotion

2 artifacts provide this capability.

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Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning (ANYmal)Product23/100

via “end-to-end neural network policy learning for quadruped locomotion”

* ⭐ 10/2022: [Discovering faster matrix multiplication algorithms with reinforcement learning (AlphaTensor)](https://www.nature.com/articles/s41586-022%20-05172-4)

Unique: Learns locomotion policies entirely from raw sensor inputs to motor outputs via PPO without any hand-crafted features, inverse kinematics, or gait primitives, discovering natural gaits emergently through distributed RL training

End To End Neural Network Policy Learning For Quadruped Locomotion

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