counterfactual replay 1language models 1reinforcement learning 1rubric-based evaluation 1token-level credit 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation
Wen Wang, Jiahua Bao, Tu Yongsiqi +8
We aim to improve model performance in multi-reward reinforcement learning training process. Existing Group reward-Decoupled Normalization Policy Optimization (GDPO) has mitigated…
cs.AI2026
CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization
Bo-Wen Zhang, Junwei He, Wen Wang +5
The paper introduces CoRT, a method that uses counterfactual replay to assign token-level credit in rubric-guided reinforcement learning for language models, improving credit alloc…