NeurIPS 2025 "policy gradient methods" Papers

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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Siyan Zhao, Devaansh Gupta, Qinqing Zheng et al.

NeurIPS 2025spotlightarXiv:2504.12216
75
citations

On the Convergence of Projected Policy Gradient for Any Constant Step Sizes

Jiacai Liu, Wenye Li, Dachao Lin et al.

NeurIPS 2025posterarXiv:2311.01104
4
citations

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson, Thang Chu, Bo Dai et al.

NeurIPS 2025poster