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GitHub data synced: Jun 26, 2026 • Sentiment updated: Unknown
AReaL is a reinforcement learning infrastructure designed to bridge foundation model training with modern agent-based applications, making building AI agents accessible, efficient, and cost-effective.
Python, Large-Scale Asynchronous Reinforcement Learning System, AReaL
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
Official site: https://areal-ai.io
Category: development
Tags: agent, llm, llm-agent, llm-reasoning, machine-learning-systems, mlsys, reinforcement-learning, rl