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Paperreinforcement-learningv1.0

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

by DeepSeek · free · Last verified 2026-03-17

This paper introduces GRPO (Group Relative Policy Optimization), a memory-efficient RL algorithm that replaces the critic model with group-sampled reward baselines, enabling scalable RLHF-style training. GRPO was subsequently adopted for DeepSeek-R1 and other reasoning-focused models.

https://arxiv.org/abs/2402.03300
B
BAbove Average
Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F

Specifications

License
Open Access
Pricing
free
Capabilities
policy-optimization, math-reasoning, rl-without-critic, scalable-rlhf
Integrations
Use Cases
mathematical-reasoning, llm-fine-tuning, rl-training
API Available
No
Tags
reinforcement-learning, grpo, math-reasoning, deepseek, policy-optimization
Added
2026-03-17
Completeness
100%

Index Score

66.1
Adoption
72
Quality
89
Freshness
88
Citations
78
Engagement
0

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