Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
cs.AI
Submitted: 2026-09-29
Updated: 2026-10-03
Code: https://github.com/Nicozwy/FastRL
Terminology
Sources
- Measuring Mathematical Problem Solving With the MATH Dataset
- MC-GRPO: Median-Centered Group Relative Policy Optimization for Small-Rollout Reinforcement Learning
- LIMR: Less is More for RL Scaling
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Group Sequence Policy Optimization
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems