MALib A Comprehensive Framework for Multi-agent Reinforcement Learning in Population-based Environments
MALib is an open-source framework designed to support multi-agent reinforcement learning (MARL) with a focus on population-based strategies. The framework is built to facilitate parallel training and flexible evaluation of MARL algorithms within diverse population settings. MALib provides robust tools and APIs to streamline development and testing, allowing researchers and practitioners to efficiently deploy and experiment with multi-agent systems in controlled environments.
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