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Merging existing expert capabilities can yield significant performance boosts, but choosing the right fusion method can make all the difference in multi-domain reinforcement learning.
REGRIND enables robots to master complex dexterous tasks from just one human demonstration, achieving impressive sim-to-real transfer without extensive retraining.
