AReaL
AReaL is open research infrastructure for asynchronous reinforcement learning and agentic post-training.
AReaL at a Glance
- Pricing
- Free
- How you use it
- Install from the code repository and run agentic RL examples
- Works with
- PyTorch Megatron-LM SGLang vLLM
AReaL Key Features
- Agentic post-training
- Asynchronous reinforcement learning
- Distributed training
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