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SudharsanRavichandiran
데이터과학자이자연구원이자저명한저술가.안나대학교에서정보기술학사학위를취득했다.연구분야는자연어처리및컴퓨터비전,딥러닝및강화학습의실제구현에중점을두고있다.오픈소스기여자이며스택오버플로질문에답하는것을좋아한다.또한베스트셀러『Hands-OnReinforcementLearningwithPython』(Manning,2018)을집필했다.
제1장FundamentalsofReinforcementLearning제2장AGuidetotheGymToolkit제3장TheBellmanEquationandDynamicProgramming제4장MonteCarloMethods제5장UnderstandingTemporalDifferenceLearning제6장CaseStudy-eMABProblem제7장DeepLearningFoundation제8장APrimeronTensorFlow제9장DeepQNetworkandItsVariants제10장PolicyGradientMethod제11장Actor-CriticMethods-A2CandA3C제12장LearningDDPG,TD3andSAC제13장TRPO,PPOandACKTRMethods제14장DistributionalReinforcementLearning제15장ImitationLearningandInverseRL제16장DeepReinforcementLearningwithStableBaselines제17장ReinforcementLearningFrontiers