Deep reinforcement learning (Record no. 10307)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02966nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251009184225.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251009b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811906374 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | PLA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Plaat, Aske |
| 245 ## - TITLE STATEMENT | |
| Title | Deep reinforcement learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Singapore |
| Name of publisher, distributor, etc. | Springer |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 406 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 5239.95 |
| 500 ## - GENERAL NOTE | |
| General note | Table of contents:<br/>Front Matter<br/>Pages i-xv<br/>Download chapter PDF <br/>Introduction<br/>Aske Plaat<br/>Pages 1-24<br/>Tabular Value-Based Reinforcement Learning<br/>Aske Plaat<br/>Pages 25-67<br/>Deep Value-Based Reinforcement Learning<br/>Aske Plaat<br/>Pages 69-100<br/>Policy-Based Reinforcement Learning<br/>Aske Plaat<br/>Pages 101-133<br/>Model-Based Reinforcement Learning<br/>Aske Plaat<br/>Pages 135-167<br/>Two-Agent Self-Play<br/>Aske Plaat<br/>Pages 169-218<br/>Multi-Agent Reinforcement Learning<br/>Aske Plaat<br/>Pages 219-262<br/>Hierarchical Reinforcement Learning<br/>Aske Plaat<br/>Pages 263-285<br/>Meta-Learning<br/>Aske Plaat<br/>Pages 287-322<br/>Further Developments<br/>Aske Plaat<br/>Pages 323-336<br/><br/>[https://link.springer.com/book/10.1007/978-981-19-0638-1] |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world’s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence.<br/>These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning.<br/><br/>(https://link.springer.com/book/10.1007/978-981-19-0638-1) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | IN32489 | 20-09-2025 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 10/05/2025 | Overseas Press India Private | 3405.97 | 006.31 PLA | 009015 | 10/05/2025 | 1 | 5239.95 | 10/05/2025 | Book |