Multi-agent machine learning: a reinforcement approach
"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learn…
Read More ↓Title Statements
- Full title :Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz, Department of Systems and Computer Engineering, Carleton University.
Summary
"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering"--
"Provide an in-depth coverage of multi-player, differential games and Gam theory"--
Edition Statements
- Publication Date:©2014
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken, New Jersey
- Language:eng
- Publication Date:©2014
The Physical Object
- Description:xi, 242 pages : : illustrations ; : 25 cm
Edition Identifiers
- ISBN:9781118362082, 111836208X
- oclc:ocn864750255
- LC Classification:Q325.6
- Dewey Decimal:519.3
Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Neural networks with R: smart models using CNN, RNN, deep learn…
Ciabuschi, Francesco
Document processing using machine learning
Machine learning pocket reference: working with structured data in Python
Harrison, Matt
Machine learning pocket reference: working with structured data in Python
Harrison, Matt
Practical time series analysis: master time series data processing, vis…
Pal, Avishek
Visual attributes
Files & Downloads
-
Multi-Agent Machine Learning: A Reinforcement App…
EPUB · 13.0 MB · updated -
Multi-agent machine learning: a reinforcement app…
EPUB · 13.0 MB · updated
Rate & Review