On KL-Regularized Policy Optimization
cs.LG, cs.AI, cs.CL
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/yifanzhang-pro/KLPO
Sources
- Maximum a Posteriori Policy Optimisation
- REBEL: Reinforcement Learning via Regressing Relative Rewards
- IQ-Learn: Inverse soft-Q Learning for Imitation
- Offline Reinforcement Learning with Implicit Q-Learning
- Score Centering Stabilizes Off-policy Reinforcement Learning
- Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
- From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Bellman Policy Optimization
- Self-Play Preference Optimization for Language Model Alignment
- Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
- On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
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