Co-Evolving Acting and Forecasting for Language Agents
By Haofei Yu · Paper · cs.AI
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. Prior work exploits this supervision throu
Tags: AI Agents · Cs.ai