Investigating the properties of neural network representations in reinforcement learning.
Han WangErfan MiahiMartha WhiteMarlos C. MachadoZaheer AbbasRaksha KumaraswamyVincent LiuAdam WhitePublished in: Artif. Intell. (2024)
Keyphrases
- neural network
- reinforcement learning
- artificial neural networks
- neural nets
- genetic algorithm
- function approximators
- reinforcement learning algorithms
- state space
- structural properties
- supervised learning
- desirable properties
- distributed representations
- learning rules
- multi layer perceptron
- function approximation
- recurrent neural networks
- markov decision processes
- mobile robot
- dynamic programming
- learning process
- social networks