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Apple Machine Learning Research
RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation
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RISED: Rubrics for Agentic Multi-Environment Selection and Self-Distillation
RISED proposes an approach to selecting training data and environments for a single LLM agent trained across diverse interactive environments. It focuses on relationships among current rollouts across environments rather than relying only on environment-level allocation or local reward signals.