Reinforcement Learning : (Record no. 670158)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02267cam a22002175i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781484232859 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| Item number | NAN |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Nandy, Abhishek, |
| 245 10 - TITLE STATEMENT | |
| Title | Reinforcement Learning : |
| Sub Title | With Open AI, TensorFlow and Keras Using Python / |
| Statement of responsibility, etc | by Abhishek Nandy, Manisha Biswas. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Apress |
| Year of publication | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XIII, 167 pages 173 illustrations, 157 illustrations in color.) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google's DeepMind and the future of Reinforcement Learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python (Computer program language). |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Biswas, Manisha, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home Library | Current Location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dept. of Computer Science | Dept. of Computer Science | 24/01/2023 | 006.3 NAN | DCS5064 | 24/01/2023 | Book |