Relax Omni-Modal RL Engine
An asynchronous distributed reinforcement-learning engine for post-training text, vision, and audio models.
HUD
A platform for building RL environments and evals for AI agents — define an environment once, then evaluate and train any model on it.
MARTI: Multi-Agent Reinforced Training & Inference for LLMs
Train LLM-based multi-agent systems with reinforcement learning and tree-search-augmented reasoning across debate, chain-of-agents, and mixture-of-agents workflows.
ART Agent Reinforcement Trainer
Train multi-step agents from real task experience with GRPO.
Hands-On Modern RL
A practice-first reinforcement learning course from CartPole to LLM post-training and agentic systems.
AgentsMeetRL — Awesome List of Agentic Reinforcement Learning
A curated, categorized collection of open-source RL-training projects for LLM agents, with technical details and an interactive dashboard.
Open-AgentRL
RL training framework for reasoning, tool use, and interactive agent environments.
AReaL Async RL Platform
Asynchronous RL infrastructure for training reasoning models and tool-using agent workflows.
rLLM: Reinforcement Learning Framework for LLM Agents
A unified framework for RL training of language agents, supporting any harness, any sandbox, and one-flag backend switching.