Lean4AgenticRL organizes each task around a problem-specific workflow that separates planning from execution.
Formal process rewards improve language models on long agent tasks
Lean4AgenticRL verifies intermediate tool use and workflow progress, then uses those signals to train agents for software and terminal tasks.
Big Tech
Ruida Wang · Gerald Friedland · Tong Zhang · Chris Kong
Amazon Web Services · University of Illinois Urbana-Champaign
Research Digest··2 min read
Wang and colleagues introduce a reinforcement-learning framework that rewards not only successful task completion, but also verified progress within a model’s interaction trace.
What it released
Code
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