10 Open-Source Reinforcement Learning Frameworks for Training AI Agents
By
Alyona Vert.
Summary
A practical roundup of 10 open-source reinforcement learning (RL) training frameworks for AI agents, covering tools optimized for GRPO, RLHF, scalable rollouts, multi-turn agents, long-horizon tasks, and multi-agent workflows. The article compares frameworks like OpenPipe ART, VeRL, GRPO, and others, helping developers choose based on their agent stack and training needs.
Source
Twitter / X10 Open-Source Reinforcement Learning Frameworks for Training AI Agentsturingpost.comKey quotes
· 3 pulledAgent RL training frameworks help improve AI agents through trajectories, rewards, tool use, and environment interaction.
Some focus on GRPO and RLHF, others on scalable rollouts, multi-turn agents, long-horizon tasks, or multi-agent workflows.
The choice depends on your agent stack.
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