Capturing a Recursive Pattern in Neural-Symbolic Reinforcement Learning.
Davide BerettaStefania MonicaFederico BergentiPublished in: WOA (2023)
Keyphrases
- reinforcement learning
- connectionist models
- neural learning
- associative memory
- fitted q iteration
- neural network
- network architecture
- pattern matching
- function approximation
- state space
- bio inspired
- high level
- pattern detection
- symbolic representation
- machine learning
- transition model
- robotic control
- data sets
- supervised learning
- learning problems
- optimal control
- reinforcement learning algorithms
- learning algorithm