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 2022-03-23 | 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