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Meet Agent Lightning, a framework that decouples how agents act in the world from how they’re trained—with almost zero code modifications. Introduced in 2025 by Luo et al., this paper reimagines reinforcement learning for AI agents, making it compatible with everything from LangChain to custom agents.
In this episode of Decode: Science, we explore how Agent Lightning formulates agent behavior as an MDP, uses LightningRL for hierarchical credit assignment, and makes scalable agent learning a reality.
Tech paper: https://arxiv.org/pdf/2508.03680
By Plain ScienceMeet Agent Lightning, a framework that decouples how agents act in the world from how they’re trained—with almost zero code modifications. Introduced in 2025 by Luo et al., this paper reimagines reinforcement learning for AI agents, making it compatible with everything from LangChain to custom agents.
In this episode of Decode: Science, we explore how Agent Lightning formulates agent behavior as an MDP, uses LightningRL for hierarchical credit assignment, and makes scalable agent learning a reality.
Tech paper: https://arxiv.org/pdf/2508.03680