Learning to Walk in Minutes Using Massively Parallel Deep RL
2:21
YouTubeRobotic Systems Lab: Legged Robotics at ETH Zürich
Learning to Walk in Minutes Using Massively Parallel Deep RL
We present a training set-up that achieves fast policy generation for real-world robotic tasks by using massive parallelism on a single workstation GPU. The parallel approach allows training policies for flat terrain in under 4 minutes, and in 20 minutes for uneven terrain. Paper accepted to CoRL 2021. Code and paper: https://leggedrobotics ...
76.5K viewsOct 5, 2021
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