RewardFlow

New RewardFlow method enhances LLM agentic reasoning with dense rewards

Researchers have developed RewardFlow, a novel method for estimating state-level rewards in agentic reinforcement learning with large language models. This approach constructs state graphs to capture trajectory topology…