Reinforcement learning and approximate Bayesian computation for model selection and parameter calibration applied to a nonlinear dynamical system
Thiago Ritto, Sándor Beregi, David A. W. Barton
Topics & Concepts
Approximate Bayesian computationModel selectionReinforcement learningNonlinear systemComputer scienceComputationContext (archaeology)Artificial intelligencePosterior probabilityMachine learningBayesian inferenceBayesian probabilityCalibrationSelection (genetic algorithm)AlgorithmMathematicsStatisticsInferenceBiologyPaleontologyQuantum mechanicsPhysicsModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignProtein Structure and Dynamics