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Mastering reinforcement learning with Python : build next-generation, self-learning models using reinforcement learning techniques

Mastering reinforcement learning with Python : build next-generation, self-learning models using reinforcement learning techniques (Loan 1 times)

Material type
단행본
Personal Author
Bilgin, Enes.
Title Statement
Mastering reinforcement learning with Python : build next-generation, self-learning models using reinforcement learning techniques / Enes Bilgin.
Publication, Distribution, etc
Birmingham :   Packt,   2020.  
Physical Medium
xvi, 520 p. : ill. ; 24 cm.
ISBN
9781838644147
General Note
Includes index.  
000 00000nam u2200205 a 4500
001 000046099991
005 20211206093830
008 211203s2020 enka 001 0 eng d
020 ▼a 9781838644147
040 ▼a 211009 ▼c 211009 ▼d 211009
082 0 4 ▼a 006.31 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31 ▼b B595m
100 1 ▼a Bilgin, Enes.
245 1 0 ▼a Mastering reinforcement learning with Python : ▼b build next-generation, self-learning models using reinforcement learning techniques / ▼c Enes Bilgin.
260 ▼a Birmingham : ▼b Packt, ▼c 2020.
300 ▼a xvi, 520 p. : ▼b ill. ; ▼c 24 cm.
500 ▼a Includes index.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 B595m Accession No. 121258501 Availability In loan Due Date 2022-03-23 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

Table of Contents

Introduction to Reinforcement Learning
Multi-armed Bandits
Contextual Bandits
Makings of the Markov Decision Process
Solving the Reinforcement Learning Problem
Deep Q-Learning at Scale
Policy Based Methods
Model-Based Methods
Multi-Agent Reinforcement Learning
Machine Teaching
Generalization and Domain Randomization
Meta-reinforcement learning
Other Advanced Topics
Autonomous Systems
Supply Chain Management
Marketing, Personalization and Finance
Smart City and Cybersecurity
Challenges and Future Directions in Reinforcement Learning

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