Shypd.aiThe largest open index of AI toolsMalib is a parallel framework for population-based multi-agent reinforcement learning. It supports the development of multi-agent systems and facilitates reinforcement learning methods.
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Malib is designed as a parallel framework specifically for population-based multi-agent reinforcement learning (MARL). Its core purpose is to support the development and implementation of complex multi-agent systems. The tool provides the necessary infrastructure to apply reinforcement learning techniques within a population-based learning paradigm, enabling researchers and developers to explore and optimize multi-agent behaviors and interactions.
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