Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations

This is the reference Cogment technical report, it was published on arXiv mid-2021 just before cogment v1, for further and more up-to-date information visit cogment.ai.
When using Cogment in your research, please cite it.

Abstract

Involving humans directly for the benefit of AI agents’ training is getting traction thanks to several advances in reinforcement learning and human-in-the-loop learning. Humans can provide rewards to the agent, demonstrate tasks, design a curriculum, or act in the environment, but these benefits also come with architectural, functional design and engineering complexities. We present Cog- ment, a unifying open-source framework that introduces an actor formalism to support a variety of humans-agents collaboration typologies and training approaches. It is also scalable out of the box thanks to a distributed micro service architecture, and offers solutions to the aforementioned complexities.

Cite

@misc{cogment_2021,
    title={
        Cogment: Open Source Framework For Distributed Multi-actor Training, 
        Deployment & Operations
    },
    author={AI Redefined and 
            Sai Krishna Gottipati and 
            Sagar Kurandwad and 
            Clodéric Mars and 
            Gregory Szriftgiser and 
            François Chabot},
    year={2021},
    eprint={2106.11345},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}