Hands-On Q-Learning with Python
Q-learningisamachinelearningalgorithmusedtosolveoptimizationproblemsinartificialintelligence(AI).ItisoneofthemostpopularfieldsofstudyamongAIresearchers.ThisbookstartsoffbyintroducingyoutoreinforcementlearningandQ-learning,inadditiontohelpingyougetfamiliarwithOpenAIGymaswellaslibrariessuchasKerasandTensorFlow.Afewchaptersintothebook,youwillgaininsightsintomodelfreeQ-learningandusedeepQ-networksanddoubledeepQ-networkstosolvecomplexproblems.Thisbookwillguideyouinexploringusecasessuchasself-drivingvehiclesandOpenAIGym’sCartPoleproblem.YouwillalsolearnhowtotuneandoptimizeQ-networksandtheirhyperparameters.Asyouprogress,youwillunderstandthereinforcementlearningapproachtosolvingreal-worldproblems.YouwillalsoexplorehowtouseQ-learningandrelatedalgorithmsinreal-worldapplicationssuchasscientificresearch.Towardtheend,you’llgainasenseofwhat’sinstoreforreinforcementlearning.Bytheendofthisbook,youwillbeequippedwiththeskillsyouneedtosolvereinforcementlearningproblemsusingQ-learningalgorithmswithOpenAIGym,Keras,andTensorFlow.
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