SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training

arXiv:2510.08141 · cs.LG · Submitted 2025-10-09 · Read on arXiv

cs.LG

Submitted: 2025-10-09

Updated: 2026-10-21

Comments: Accepted at NeurIPS 2026. Revised version of "Arbitrary Entropy Policy Optimization Breaks the Exploration Bottleneck of Reinforcement Learning"

Code: https://github.com/597358816/SCOPE-RL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Entropy Collapse — 3× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 8 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

Sources

• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Proximal Policy Optimization Algorithms
• DPO Meets PPO: Reinforced Token Optimization for RLHF
• Reinforcement Learning for LLM Post-Training: A Survey
• Equivalence Between Policy Gradients and Soft Q-Learning
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• DeepSeek-V3 Technical Report
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
• DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
• EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity
• Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
• The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
• T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
• On Entropy Control in LLM-RL Algorithms
• Reasoning with Exploration: An Entropy Perspective
• MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
• CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
• Qwen2.5 Technical Report

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