2025 "policy gradient methods" Papers

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$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee

Wenye Li, Jiacai Liu, Ke Wei

ICLR 2025poster
3
citations

A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar

ICLR 2025posterarXiv:2408.00751
3
citations

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits

Yuta Natsubori, Masataka Ushiku, Yuta Saito

ICLR 2025poster

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

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization

Sascha Marton, Tim Grams, Florian Vogt et al.

ICLR 2025posterarXiv:2408.08761
4
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

Policy Gradient with Kernel Quadrature

Tetsuro Morimura, Satoshi Hayakawa

ICLR 2025posterarXiv:2310.14768
1
citations

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson, Thang Chu, Bo Dai et al.

NeurIPS 2025poster