#machine learning
Jul 2026
A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models
A continuous-time RL framework for fine-tuning score-based discrete diffusion models, which enables reward-driven optimization without requiring differentiability on the reward signals, is developed.
Zikun Zhang, Jia-Yuan Sheng, David D. Yao et al.
· arXiv.org · 1 citation