Applied reinforcement learning with Python with OpenAI Gym, Tensorflow and Keras /: with OpenAI Gym, Tensorflow and Keras. ([2019])
- Record Type:
- Book
- Title:
- Applied reinforcement learning with Python with OpenAI Gym, Tensorflow and Keras /: with OpenAI Gym, Tensorflow and Keras. ([2019])
- Main Title:
- Applied reinforcement learning with Python with OpenAI Gym, Tensorflow and Keras
- Further Information:
- Note: Taweh Beysolow II.
- Other Names:
- Beysolow, Taweh
- Contents:
- Chapter 1: Introduction to Reinforcement LearningChapter Goal: Inform the reader of the history of the field, its current applications, as well as generally discussing the outline of the text and what the reader can expect to learn No of pages 10Sub -Topics1. What is reinforcement learning? 2. History of reinforcement learning 3. Applications of reinforcement learning Chapter 2: Reinforcement Learning AlgorithmsChapter Goal: Establishing an understanding with the reader about how reinforcement learning algorithms work and how they differ from basic ML/DL methods. Practical examples to be provided for this chapter No of pages: 50 Sub - Topics 1. Tabular solution methods2. Approximate solution methods Chapter 3: Q Learning Chapter Goal: In this chapter, readers will continue to build on their understanding of RL by solving problems in discrete action spaces No of pages : 40 Sub - Topics: 1. Deep Q networks2. Double deep Q learning Chapter 4: Reinforcement Learning Based Market Making Chapter Goal: In this chapter, we will focus on a financial based use case, specifically market making, in which we must buy and sell a financial instrument at any given price. We will apply a reinforcement learning approach to this data set and see how it performs over time No of pages: 50Sub - Topics: 1. Market making 2. AWS/Google Cloud3. Cron Chapter 5: Reinforcement Learning for Video Games Chapter Goal: In this chapter, we will focus on a more generalized use case of reinforcement learningChapter 1: Introduction to Reinforcement LearningChapter Goal: Inform the reader of the history of the field, its current applications, as well as generally discussing the outline of the text and what the reader can expect to learn No of pages 10Sub -Topics1. What is reinforcement learning? 2. History of reinforcement learning 3. Applications of reinforcement learning Chapter 2: Reinforcement Learning AlgorithmsChapter Goal: Establishing an understanding with the reader about how reinforcement learning algorithms work and how they differ from basic ML/DL methods. Practical examples to be provided for this chapter No of pages: 50 Sub - Topics 1. Tabular solution methods2. Approximate solution methods Chapter 3: Q Learning Chapter Goal: In this chapter, readers will continue to build on their understanding of RL by solving problems in discrete action spaces No of pages : 40 Sub - Topics: 1. Deep Q networks2. Double deep Q learning Chapter 4: Reinforcement Learning Based Market Making Chapter Goal: In this chapter, we will focus on a financial based use case, specifically market making, in which we must buy and sell a financial instrument at any given price. We will apply a reinforcement learning approach to this data set and see how it performs over time No of pages: 50Sub - Topics: 1. Market making 2. AWS/Google Cloud3. Cron Chapter 5: Reinforcement Learning for Video Games Chapter Goal: In this chapter, we will focus on a more generalized use case of reinforcement learning in which we teach an algorithm to successfully play a game against computer based AI. No of pages: 50Sub - Topics: 1. Game background and data collection. … (more)
- Publisher Details:
- Berkely, California : Apress
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 006.31
Reinforcement learning
Python (Computer program language)
Python (Computer program language)
Reinforcement learning
Electronic books - Languages:
- English
- ISBNs:
- 9781484251270
- Related ISBNs:
- 148425127X
1484251261
9781484251263 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed September 12, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.453154
- Ingest File:
- 02_588.xml