Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Topics & Concepts
Mutual informationReinforcement learningComputer scienceArtificial intelligenceEstimatorMachine learningSet (abstract data type)Unsupervised learningLatent variableAdaptation (eye)Function (biology)MathematicsOpticsStatisticsPhysicsBiologyProgramming languageEvolutionary biologyReinforcement Learning in RoboticsEvolutionary Algorithms and ApplicationsRobotic Locomotion and Control