This is the Windows app named AReal whose latest release can be downloaded as v0.3.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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AReal
DESCRIPTION
AReaL is an open source, fully asynchronous reinforcement learning training system. AReal is designed for large reasoning and agentic models. It works with models that perform reasoning over multiple steps, agents interacting with environments. It is developed by the AReaL Team at Ant Group (inclusionAI) and builds upon the ReaLHF project. Release of training details, datasets, and models for reproducibility. It is intended to facilitate reproducible RL training on reasoning / agentic tasks, supporting scaling from single nodes to large GPU clusters. It can streamline the development of AI agents and reasoning systems. Support for algorithm and system co-design optimizations (to improve efficiency and stability).
Features
- Fully asynchronous RL architecture (rollouts decoupled from training)
- Ability to scale from one node up to 1,000+ GPUs
- Flexible customization for multi-turn agentic rollout workflows
- Integration with agentic tool frameworks / pipelines
- Support for algorithm and system co-design optimizations (to improve efficiency and stability)
- Release of training details, datasets, and models for reproducibility
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/areal.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
