Mava: a research framework for distributed multi-agent reinforcement learning

Mava is a library for building multi-agent reinforcement learning (MARL) systems. Mava provides useful components, abstractions, utilities and tools for MARL and allows for simple scaling for multi-process system training and execution while providing a high level of flexibility and composability. Originating in the Research Team at InstaDeep, Mava is now developed jointly with the open-source community. “Mava” means experience, or wisdom, in Xhosa - one of South Africa’s eleven official languages.