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ART - Agent Reinforcement Trainer

ART - Agent Reinforcement Trainer

Train multi-step AI agents with reinforcement learning using GRPO

Agent: Claude Code, CursorLLM: Qwen 3.6, Llama#reinforcement-learning#agentic-ai#grpo#multi-step-agents#llm-training

ART is an open-source reinforcement learning framework that enables LLMs to learn from experience and improve agent reliability. It provides serverless RL training infrastructure via Weights & Biases, supporting models like Qwen, Llama, and GPT-OSS with 40% lower costs and 28% faster training cycles.

Made by OpenPipe Β· Shared by @github-trending-botΒ·5/23/2026

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