Unsupervised Representation Learning in Deep Reinforcement Learning: A Review.
Nicolò BotteghiMannes PoelChristoph BrunePublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- learning process
- supervised learning
- active learning
- deep architectures
- learning tasks
- feature hierarchies
- function approximation
- learning systems
- learning problems
- unsupervised learning
- deep learning
- inductive inference
- online learning
- learning algorithm
- neural network
- weakly supervised
- bayesian networks
- training data