A Control and Optimization Framework for Robot Locomotion : from Model-free to Model-based Approaches

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Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

A Control and Optimization Framework for Robot Locomotion : from Model-free to Model-based Approaches

Chattez avec Graph Search

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