Single-stream Policy Optimization
arxiv:2509.13232
Post-training · 2025-09-16
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Contents
- Single-stream Policy Optimization
- 1 Introduction
- 2 Related Work
- 3 Background
- 3.1 Policy Gradient and the REINFORCE Algorithm
- 3.2 Variance Reduction Baselines for Large Language Models
- 4 Method
- 4.1 A KL-Adaptive Value Tracker
- 4.2 Advantage Estimation and Policy Optimization
- 4.3 Prioritized Prompt Sampling
- 4.4 Advantages over GRPO
- 5 Experiments
- 5.1 Experimental Setup
- 5.2 Empirical Comparison with GRPO
- 5.3 Analysis of Signal Efficiency and Stability
- 5.4 Agentic Training Demonstrations
- 6 Conclusions
- Appendix A SPO Initialization
- Appendix B Batch Extensions
- Appendix C Comparisons against GRPO
- C.1 Inefficiency of Dynamic Sampling
- C.2 Variance Reduction for Policy Gradient
- Appendix D Training and Evaluation Details
- Appendix E Ablation Studies
- Instructions for reporting errors