Hands-on reinforcement learning with R : get up to speed with building self-learning systems using R 3.x /: get up to speed with building self-learning systems using R 3.x. (2019)
- Record Type:
- Book
- Title:
- Hands-on reinforcement learning with R : get up to speed with building self-learning systems using R 3.x /: get up to speed with building self-learning systems using R 3.x. (2019)
- Main Title:
- Hands-on reinforcement learning with R : get up to speed with building self-learning systems using R 3.x
- Further Information:
- Note: Giuseppe Ciaburro.
- Authors:
- Ciaburro, Giuseppe
- Contents:
- Table of ContentsOverview of Reinforcement Learning with RBuilding Blocks of Reinforcement LearningMarkov Decision Processes in ActionMulti-Armed Bandit ModelsDynamic programming for Optimal PoliciesMonte-Carlo Methods for PredictionTemporal Difference LearningReinforcement Learning in Game ApplicationsMAB for Financial EngineeringTD learning in HealthCareExploring Deep Reinforcement Learning methodsDeep Q learning Using KerasWhats Next?.
- Publisher Details:
- Birmingham, UK : Packt Publishing
- Publication Date:
- 2019
- Extent:
- 1 online resource (1 volume), illustrations
- Subjects:
- 006.31
Reinforcement learning
R (Computer program language)
Machine learning
Machine learning
R (Computer program language)
Reinforcement learning
Electronic books - Languages:
- English
- ISBNs:
- 9781789610468
- Related ISBNs:
- 178961046X
9781789616712 - Notes:
- Note: Includes bibliographical references.
Note: Description based on online resource; title from title page (Safari, viewed May 20, 2020). - 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.479960
- Ingest File:
- 03_030.xml