reinforcement learning 2chain-of-thought 1credit assignment 1evidence retrieval 1large language models 1provenance 1reasoning 1reward shaping 1search agents 1
From the 2 of 2 linked papers with an AI index.
2 papers
cs.LG2026
SCOPE-RL: Optimizing Reasoning Paths Before and After Success
Xiaojian Liu, Han Xu, Jianqiang Xia +6
The paper proposes SCOPE-RL, a two-stage reinforcement learning framework that adds dense, verifiable rewards to both pre‑success and post‑success reasoning steps of large language…
cs.AI2026
STAMP: Provenance-Guided Credit Assignment for Deep Search Agents
Ke Xu, Han Xu, Xinran Chen +6
The paper presents STAMP, a method that assigns credit to individual actions of deep search agents by verifying whether retrieved documents support evidence in a training-time grap…