Microsoft Research released Agent Lightning v1.0, a 3,500-line framework that connects existing AI agents to reinforcement learning training without requiring them to be rebuilt.
Why it matters: It aims to simplify improving agents whose tools, context and decision-making are handled by complex frameworks.
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From the publisher
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 Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research .
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