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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Badminton Insight on Instagram: "Did you know that having a strong core massively helps your badminton? 🏸 Doing exercises like this will help you smash harder, improve your on-court movement AND minimise the risk of injuries! For 12 Core Circuits specifically designed for badminton players, check out our website (linked in our bio!) ⬇️"
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