Self-Generating Policies for Machine Learning in Coalition Environments.
Dinesh C. VermaSeraphin B. CaloShonda WitherspoonIrene ManotasElisa BertinoAmani M. Abu JabalGreg CirincioneAnanthram SwamiGavin PearsonGeeth de MelPublished in: PADG@ESORICS (2018)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- coalition formation
- artificial intelligence
- decision trees
- optimal policy
- machine learning algorithms
- knowledge acquisition
- learning methodologies
- automatically generating
- inductive logic programming
- dynamic environments
- knowledge discovery
- active learning
- data mining
- feature selection
- real world
- management policies
- control policies
- generation process
- explanation based learning
- learning systems
- reinforcement learning
- cooperative
- support vector machine
- supervised learning
- natural language processing
- text mining
- dynamic programming
- multi agent
- partially observable markov decision processes
- computational intelligence
- learning algorithm
- autonomous robots
- robotic systems
- inductive learning
- computer vision
- learning problems
- learning tasks
- statistical methods
- computer science