malib | A parallel framework for population-based multi-agent reinforcement learning | Reinforcement Learning library

malib is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch applications. malib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

MALib is a parallel framework of population-based learning nested with (multi-agent) reinforcement learning (RL) methods, such as Policy Space Response Oracle, Self-Play and Neural Fictitious Self-Play. MALib provides higher-level abstractions of MARL training paradigms, which enables efficient code reuse and flexible deployments on different distributed computing paradigms. The design of MALib also strives to promote the research of other multi-agent learning, including multi-agent imitation learning and model-based MARL.