Agent-G${}^2$: Gaussian Guidance for Agentic Reinforcement Learning

Zixuan Wang, Yanrui Miao, Zhengxi Lu +6

Hint-based reinforcement learning addresses reward sparsity in long-horizon agentic tasks by retaining a prefix of an expert trajectory before each rollout, letting the policy expl…