Applied reinforcement learning with python : (Record no. 79635)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01554nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220719b2019 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484276334 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 BEY-T |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Beysolow, Taweh II |
| 245 ## - TITLE STATEMENT | |
| Title | Applied reinforcement learning with python : |
| Remainder of title | with OpenAI Gym, Tensorflow, and Keras / |
| Statement of responsibility, etc. | Taweh Beysolow II |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 168 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 499.00 |
| 500 ## - GENERAL NOTE | |
| General note | Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.<br/><br/>Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.<br/><br/>What You'll Learn:<br/>1) Implement reinforcement learning with Python <br/>2) Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras<br/>3) Deploy and train reinforcement learning–based solutions via cloud resources<br/>4) Apply practical applications of reinforcement learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Reinforcement learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer programming |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 19/07/2022 | 2 | 006.31 BEY-T | 45787 | 13/07/2024 | 28/02/2024 | 19/07/2022 | Books |