A lightweight actor-critic loop trains 3B LLM agents to surpass GPT-4o on ALFWorld by learning step-level reward models from rollouts or demonstrations.
Step: Stacked llm policies for web actions
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Process Reward Models for LLM Agents: Practical Framework and Directions
A lightweight actor-critic loop trains 3B LLM agents to surpass GPT-4o on ALFWorld by learning step-level reward models from rollouts or demonstrations.