An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning.
Dilip ArumugamPeter HendersonPierre-Luc BaconPublished in: CoRR (2021)
Keyphrases
- information theoretic
- credit assignment
- reinforcement learning
- mutual information
- information theory
- rule discovery
- theoretic framework
- information bottleneck
- information theoretic measures
- entropy measure
- learning algorithm
- jensen shannon divergence
- kl divergence
- learning classifier systems
- kullback leibler divergence
- neural network
- learning problems
- pattern recognition
- image processing
- machine learning