most citedA Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

25 citations · 38 across the 3 of their papers we have counts for

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cs.RO2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience

Laura Smith, J. Chase Kew, Tianyu Li +5

Legged robots have enormous potential in their range of capabilities, from navigating unstructured terrains to high-speed running. However, designing robust controllers for highly…

cs.RO2022★ 25 cited

A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Laura Smith, Ilya Kostrikov, Sergey Levine

Deep reinforcement learning is a promising approach to learning policies in uncontrolled environments that do not require domain knowledge. Unfortunately, due to sample inefficienc…