Author

Li-Chao Ma

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Preprint Aug 2026

How Much, Then Where: Credit-Conserving Action-to-Token Allocation for Multi-Turn Agent Reinforcement Learning

FACTOR is introduced, which uses checkpoint-calibrated TD residuals to assign per-action credits that telescope to the trajectory advantage, and feedback-conditioned teacher-student likelihood gaps to allocate each credit across the realized action tokens.

Li-Chao Ma, Yang Sun, Shuai Zhao et al. · 3 citations

Preprint Aug 2026

Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillation

Comparative experiments conducted on four checkpoints from a single model family validate a concise and effective scaling trend: end-to-end detection correctness exhibits a complexity-differentiated scaling pattern, and the complexity metric derived from the constraint dependency graph can effectively quantify instance...

Shuai Zhao, Fengmei Ni, Lichao Ma et al. · 0 citations

Preprint Aug 2026

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation

REOPD combines a token-level compatibility weight with a batch-level adaptive budget, yielding a token-wise coefficient $\lambda_{b,t}=1+\gamma_b q_t$ that preserves teacher alignment while selectively extrapolating along reliable teacher-reference directions, demonstrating effective fine-grained reliability adaptation...

Yang Sun, Li-Chao Ma, Houyuan Qin et al. · 3 citations