Evolving deep unsupervised convolutional networks for vision-based reinforcement learning.
Jan KoutníkJürgen SchmidhuberFaustino J. GomezPublished in: GECCO (2014)
Keyphrases
- reinforcement learning
- deep belief networks
- deep learning
- unsupervised learning
- function approximation
- state space
- restricted boltzmann machine
- supervised learning
- network design
- augmented reality
- deep architectures
- complex networks
- human computer interaction
- machine learning
- real time
- vision system
- temporal difference
- neural network
- learning algorithm
- action space
- network structure
- probabilistic model
- computer networks
- social networks
- bayesian networks
- network analysis
- optimal control
- reinforcement learning algorithms
- computer vision
- model free
- sparse coding
- transfer learning
- semi supervised
- graphical models
- data driven