Fast Reinforcement Learning Techniques Using the Euclidean Distance and Agent State Occurrence Frequency.
Hani Al-DayaaDalila MegherbiPublished in: MLMTA (2006)
Keyphrases
- euclidean distance
- reinforcement learning
- occurrence frequency
- multi agent
- distance function
- state space
- distance metric
- distance measure
- agent receives
- mahalanobis distance
- feature vectors
- dimensionality reduction
- action space
- action selection
- cosine distance
- dynamic time warping
- similarity measure
- data points
- state action
- learning algorithm
- manhattan distance
- pattern recognition
- co occurrence
- feature space
- agent learns
- image processing
- high dimensional
- dynamic programming