RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation
RISED is a method for training LLM agents across multiple interactive environments, improving generalist agents by considering relationships between environments and using rubrics to guide learning. It outperforms other methods in multi-environment RL and can characterize behavioral changes.
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