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MARTI

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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

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MARTI is an open-source framework for training LLM-based Multi-Agent Systems (MAS) with Reinforcement Learning (RL). It enables powerful, scalable, and adaptive workflows by combining centralized multi-agent interactions with distributed policy training. MARTI supports both built-in graph-based workflows and popular third-party multi-agent frameworks.

MARTI-v2 extends the framework with tree search-augmented RL for complex reasoning tasks like code generation. By integrating multi-agent tree search, MARTI-v2 enables efficient multi-turn exploration with adaptive node expansion and refinement, allowing agents…

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