"Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at ..."

Vincent-Pierre Berges et al. (2023)

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DOI: 10.48550/ARXIV.2306.07552

access: open

type: Informal or Other Publication

metadata version: 2023-06-17

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  - https://dblp.org/rec/journals/corr/abs-2306-07552
Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander:
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. CoRR abs/2306.07552 (2023)

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