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Tag Archives: Walk

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

Deep reinforcement learning (DRL) has been successfully used to solve robotics tasks like locomotion, manipulation, or navigation. However, complex tasks require a long training time. A recent paper on arXiv.org explores massive parallelism for the improvement of the quality and time-to-deployment of DRL policies. Robonaut. Image credit NASA via Pixabay The researchers examine how the standard RL formulation and the ...

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