Keras Reinforcement Learning Projects
ReinforcementlearninghasevolvedalotinthelastcoupleofyearsandproventobeasuccessfultechniqueinbuildingsmartandintelligentAInetworks.KerasReinforcementLearningProjectsinstallshuman-levelperformanceintoyourapplicationsusingalgorithmsandtechniquesofreinforcementlearning,coupledwithKeras,afasterexperimentallibrary.ThebookbeginswithgettingyouupandrunningwiththeconceptsofreinforcementlearningusingKeras.You’lllearnhowtosimulatearandomwalkusingMarkovchainsandselectthebestportfoliousingdynamicprogramming(DP)andPython.You’llalsoexploreprojectssuchasforecastingstockpricesusingMonteCarlomethods,deliveringvehicleroutingapplicationusingTemporalDistance(TD)learningalgorithms,andbalancingaRotatingMechanicalSystemusingMarkovdecisionprocesses.Onceyou’veunderstoodthebasics,you’llmoveontoModelingofaSegway,runningarobotcontrolsystemusingdeepreinforcementlearning,andbuildingahandwrittendigitrecognitionmodelinPythonusinganimagedataset.Finally,you’llexcelinplayingtheboardgameGowiththehelpofQ-Learningandreinforcementlearningalgorithms.Bytheendofthisbook,you’llnotonlyhavedevelopedhands-ontrainingonconcepts,algorithms,andtechniquesofreinforcementlearningbutalsobeallsettoexploretheworldofAI.
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