Learning to Walk via Deep Reinforcement Learning
Robotics - Science and Systems, 2019.
Deep reinforcement learning offers the promise of automatic acquisition of robotic control policies that directly map sensory inputs to low-level actions. In the domain of robotic locomotion, it could make it possible for locomotion skills to be learned with minimal engineering and without even needing to construct a model of the robot....More
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