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Found 3 papers, 1 papers with code
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Reinforcement learning (RL) is a powerful approach for acquiring a good-performing policy.
Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts.
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors
We find that the geometric descriptors greatly help in generalizing to new task configurations and that combining them with our distribution-matching objective is crucial for representing and reproducing versatile behavior.
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