Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States.
Yifei ChenS. Hamidreza KasaeiLambert SchomakerMarco A. WieringPublished in: IJCNN (2021)
Keyphrases
- potential functions
- reinforcement learning
- perceptual aliasing
- markov random field
- pairwise
- maximum entropy
- function approximation
- state action
- optimal policy
- training set
- random fields
- machine learning
- state space
- supervised learning
- learning algorithm
- markov decision processes
- conditional random fields
- image classification
- image segmentation
- weighted sums