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Filtered by domain: procedural-generalizationClear

Co-Evolving Acting and Forecasting for Language Agents

15 Oct 2026

Training language agents is bottlenecked by the high cost of long-horizon rollouts, yet standard agentic reinforcement learning (RL) learns only from a terminal scalar reward, leaving the supervision in intermediate steps largely unused.

Agents Procedural Generalization Reinforcement Learning

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