Multi-Agent Image Classification via Reinforcement Learning.
Hossein K. MousaviMohammadReza NazariMartin TakácNader MoteePublished in: IROS (2019)
Keyphrases
- image classification
- reinforcement learning
- multi agent
- image representation
- image features
- function approximation
- model free
- feature extraction
- multi agent environments
- cooperative
- bag of words
- visual features
- visual words
- state space
- multi agent reinforcement learning
- multi agent systems
- intelligent agents
- sparse representation
- multi label
- learning algorithm
- learning agents
- reinforcement learning algorithms
- class specific
- software agents
- markov decision processes
- traffic signal control
- markov decision process
- optimal policy
- bag of features
- learning agent
- machine learning
- dynamic programming
- single agent
- multiagent systems
- action selection
- autonomous agents
- multiple agents
- sparse coding
- partially observable markov decision processes
- learning problems
- optimal control
- function approximators
- transfer learning
- object recognition
- heterogeneous agents
- similarity measure
- reinforcement learning agents
- multi agent coordination
- robotic control