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Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweig…

Microsoft ResearchPublished Oct 8, 2026

Official source · Microsoft ResearchVerified Oct 10, 2026

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Welcome RL Environments to the hub

An environment gives an agent a task, responds to its actions with observations, and scores the outcome. The resulting rewards can measure an agent's performance during evaluation or provide a learning signal during training. For an introduction to this interaction loop, see our blogpost on environments . Within the e…

Hugging FacePublished Sep 28, 2026

Cross-checked · Hugging Face BlogVerified Oct 10, 2026

AI updateAI

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Microsoft ResearchPublished Oct 8, 2026

Official source · Microsoft ResearchVerified Oct 10, 2026

AI updateAI

Welcome RL Environments to the hub

Hugging FacePublished Sep 28, 2026

Cross-checked · Hugging Face BlogVerified Oct 10, 2026