Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks.
Valerio BonomettiMathieu J. RuizAnders DrachenAlex R. WadePublished in: CoRR (2021)
Keyphrases
- artificial neural networks
- learning algorithm
- learning process
- reinforcement learning
- small scale
- background knowledge
- learning scenarios
- real world
- learning systems
- supervised learning
- incremental learning
- image representation
- computational intelligence
- learning tasks
- learning problems
- learning analytics
- prior knowledge
- learning scheme
- using artificial neural networks
- feature hierarchies