Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Which Successes Make Good References? Action-Sequence Alignment for Multi-Turn On-Policy Distillation
Mufei Li, Nikki Lijing Kuang, Zhuoer Wang +9
On-policy distillation (OPD) reduces train-inference distribution mismatch by supervising a student on its own trajectories. For multi-turn tool-use agents, conditioning the teache…
cs.LG2026
Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning
Zheyuan Zhang, Manqing Mao, Hong Wang +8
Critic-free group-based reinforcement learning has become a scalable approach for post-training large language models. However, most existing methods allocate the same number of ro…