This is the Linux app named Atropos whose latest release can be downloaded as v0.3.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Atropos
DESCRIPTION:
Atropos is a comprehensive open-source framework for reinforcement learning (RL) environments tailored specifically to work with large language models (LLMs). Designed as a scalable ecosystem of environment microservices, Atropos allows researchers and developers to collect, evaluate, and manage trajectories (sequences of actions and outcomes) generated by LLMs across a variety of tasks—from static dataset benchmarks to dynamic interactive games and real-world scenario environments. It provides foundational tooling for asynchronous RL loops where environment services communicate with trainers and inference engines, enabling complex workflow orchestration in distributed and parallel setups. This framework facilitates experimentation with RLHF (Reinforcement Learning from Human Feedback), RLAIF, or multi-turn training approaches by abstracting environment logic, scoring, and logging into reusable components.
Features
- Asynchronous RL environment microservice framework
- Support for diverse environment types (games, datasets, interactive tasks)
- Trajectory collection and evaluation APIs
- Tools for logging, debugging, and reporting RL metrics
- Example trainers and configs for rapid experimentation
- MIT open-source license
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/atropos-llm-rl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.