
FLaRe, a large-scale Reinforcement Learning fine-tuning framework, can effectively align pre-trained robot policies towards task completion, achieving state-of-the-art performance on both previously demonstrated and entirely novel tasks and embodiments.


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FLaRe: Achieving State-of-the-Art Performance on Household Robot Tasks through Large-Scale Reinforcement Learning Fine-Tuning
