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Deep reinforcement learningAlgorithmic game theoryIntrinsic motivationFeature learningEvolutionary algorithmTemporal difference learningConstraint satisfactionSupervised learningEmpowermentEmpirical risk minimizationQ-learningConnectionismParticle swarm optimizationApplied behavior analysisDiagnosisDifferential evolutionNeuroeconomicsLearning rateProbabilistic neural networkRestricted boltzmann machineRelevance vector machinePsychology of reasoningConformal predictionProbabilistic programmingCombinatorial optimizationCognitive hierarchy theoryMechanism designOptimal controlInductive logic programmingKnowledge graph embeddingStatistical learning theoryCombinatorial game theoryDelta ruleBayesian knowledge tracingAnt colony optimization algorithmsNested sampling algorithmSequence labelingNeuro-fuzzySequential minimal optimizationEarly stoppingQuantum machine learningCase-based reasoningM-theorySimulation-based optimizationGoal programmingRecurrent neural networkConstrained optimizationManifold regularizationAssociation rule learningRpropPredictive analyticsStabilityAgencyProbabilistic classificationRandom forestLearning analyticsTheory of computationEconomic planningQuantum cognitionEnsemble learningOdds algorithmOptimization problemDecision tree learningAdaptive algorithmCognitive scienceApproximate bayesian computationCognitive psychologyCognitive ergonomicsCognitive neuropsychologyStructured predictionInduction puzzlesGradient boostingOperations researchHyperparameterBehavior treeQuantum complexity theoryBackpropagationMm algorithmComputational scienceProbabilistic logicRadial basis function networkLinear classifierBehavioral game theoryMachine learning in physicsLinear programmingMulti-label classificationQuantum finite automatonSample complexityRecursive neural networkGenetic algorithm schedulingParameterized complexityFeedforwardConstraint logic programmingComputer simulationObstacle avoidanceEvolutionary dynamicsFunctional analysisBehavioral economicsConvex optimizationGrammar induction