A model-free method to learn multiple skills in parallel on modular robots
Abstract Legged robots are well-suited for deployment in unstructured environments but require a unique control scheme specific for their design. As controllers optimised in simulation do not transfer well to the real world (the infamous sim-to-real gap), methods enabling quick learning in the real...
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Main Authors: | Fuda van Diggelen, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-07-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-50131-4 |
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