
Mastering reinforcement learning with Python : build next-generation, self-learning models using reinforcement learning techniques
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 2023-03-13 | Make a Reservation Available for Reserve | Service |
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