This introduction to deep reinforcement learning (RL) combines both theory and implementation. Authors Laura Graesser and Wah Loon Keng starts with intuition, then carefully explain the theory of deep RL algorithms, discuss implementations in its companion software library SLM Lab, and finish with the practical details of getting deep RL to work. This guide is aimed both at computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.
<ASIN:0135172381>
Author: Laura Graesser and Wah Loon Keng Publisher: Addison-Wesley Date: December 2019 Pages: 416 ISBN: 978-0135172384 Print: 0135172381 Kindle: B07ZVYZC6F Audience: Developers in machine learning Level: Intermediate/Advanced Category: Artificial Intelligence
- Understand each key aspect of a deep RL problem
- Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)
- Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)
- Understand how algorithms can be parallelized synchronously and asynchronously
- Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
- Explore algorithm benchmark results with tuned hyperparameters
- Understand how deep RL environments are designed
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
Kill It With Fire
Author: Marianne Bellotti Publisher: No Starch Press Pages: 248 ISBN: 978-1718501188 Print: 1718501188 Kindle: B08CTFY4JP Audience: Developers renovating aging systems Rating: 4.5 Reviewer: Kay Ewbank
The subtitle of this book is "Manage aging computer systems and future proof modern ones". Thi [ ... ]
|
Python All-in-One, 2nd Ed (For Dummies)
Authors: John Shovic and Alan Simpson Publisher: For Dummies Date: April 2021 Pages: 720 ISBN: 978-1119787600 Print: 1119787602 Kindle: B091DGDLK8 Audience: People wanting to learn Python Rating: 2 Reviewer: Mike James All-in-one refers to the fact that this is seven books put together - why?
| More Reviews |
|