Deep Reinforcement Learning

Frontiers of Artificial Intelligence

Häftad, Engelska, 2020

AvMohit Sewak

2 219 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

2 219 kr

Skickas inom 10-15 vardagar

This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications.

Produktinformation

Utgivningsdatum2020-08-15
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
Antal sidor203
FörlagSpringer Verlag, Singapore
ISBN9789811382871

Tillhör följande kategorier

Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
IT-säkerhet inom Data och it

Mr. Sewak has been the Lead Data Scientist/Analytics Architect for a number of important international AI/DL/ML software and industry solutions and has also been involved in providing solutions and research for a series of cognitive features for IBM Watson Commerce. He has 14 years of experience working as a solutions architect using technologies like TensorFlow, Torch, Caffe, Theano, Keras, Open AI, SpaCy, Gensim, NLTK, Watson, SPSS, Spark, H2O, Kafka, ES, and others.

Introduction to Reinforcement Learning.- Mathematical and Algorithmic understanding of Reinforcement Learning.- Coding the Environment and MDP Solution.- Temporal Difference Learning, SARSA, and Q Learning.- Q Learning in Code.- Introduction to Deep Learning.- Implementation Resources.- Deep Q Network (DQN), Double DQN and Dueling DQN.- Double DQN in Code.- Policy-Based Reinforcement Learning Approaches.- Actor-Critic Models & the A3C.- A3C in Code.- Deterministic Policy Gradient and the DDPG.- DDPG in Code.