Machine Learning

NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization

AI Observer
Education

From Exploration Collapse to Predictable Limits: Shanghai AI Lab Proposes Entropy-Based...

AI Observer
Education

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in...

AI Observer
Education

Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in...

AI Observer
Education

Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables...

AI Observer
Education

Incorrect Answers Improve Math Reasoning? Reinforcement Learning with Verifiable Rewards (RLVR)...

AI Observer
Education

Exploring the Machine Learning Periodic Table

AI Observer
Education

This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework...

AI Observer
Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

AI Observer
Education

NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through...

AI Observer
Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

AI Observer

Featured

Education

NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization

AI Observer
News

Top Artificial Intelligence AI Books to Read in 2025

AI Observer
News

Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for...

AI Observer
News

From Clicking to Reasoning: WebChoreArena Benchmark Challenges Agents with Memory-Heavy and...

AI Observer
AI Observer

NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization

Recent advances in reasoning-focused language models have marked a major change in AI by scaling test-time computation. Reinforcement learning (RL) is crucial in developing reasoning capabilities and mitigating reward hacking pitfalls. However, a fundamental debate remains: whether RL provides new reasoning capabilities from a base model or just helps...