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cs.LG2026
On the Geometry of On-Policy Distillation
Zhennan Shen, Yanshu Li, Qingyu Yin +6
On-policy distillation (OPD) is increasingly used to improve large language model reasoning, but its training dynamics remain poorly understood. We characterize the trajectory of O…
cs.LG2025★ 5 cited
Counterfactual experience augmented off-policy reinforcement learning
Sunbowen Lee, Yicheng Gong, Chao Deng
Reinforcement learning control algorithms face significant challenges due to out-of-distribution and inefficient exploration problems. While model-based reinforcement learning enha…