MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

16 Apr 2020Dmitry KazhdanZohreh ShamsPietro Liò

Multi-Agent Reinforcement Learning (MARL) encompasses a powerful class of methodologies that have been applied in a wide range of fields. An effective way to further empower these methodologies is to develop libraries and tools that could expand their interpretability and explainability... (read more)

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