A population-based approach for multi-agent interpretable reinforcement learning
Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca
Topics & Concepts
InterpretabilityReinforcement learningComputer scienceInitializationArtificial intelligenceMachine learningPopulationField (mathematics)Task (project management)Deep neural networksDomain (mathematical analysis)Artificial neural networkEngineeringSystems engineeringPure mathematicsProgramming languageSociologyMathematicsDemographyMathematical analysisExplainable Artificial Intelligence (XAI)Reinforcement Learning in RoboticsMachine Learning and Data Classification