State Space Partition for Reinforcement Learning Based on Fuzzy Min-Max Neural Network.
Yong DuanBaoxia CuiXinhe XuPublished in: ISNN (2) (2007)
Keyphrases
- neural network
- fuzzy min max
- state space
- reinforcement learning
- reinforcement learning algorithms
- factored markov decision processes
- markov decision processes
- optimal policy
- function approximation
- action space
- hybrid neural
- heuristic search
- multi agent
- artificial neural networks
- dynamic programming
- partially observable
- dynamical systems
- particle filter
- markov chain
- back propagation
- state abstraction
- state variables
- control problems
- model free
- markov decision problems
- neural network model
- convolutional neural network
- learning algorithm
- fault diagnosis
- machine learning
- goal state
- continuous state spaces
- state and action spaces
- markov decision process
- reward function
- learning rules
- neural nets
- planning problems
- genetic algorithm
- face recognition
- learning capabilities
- fuzzy neural network
- associative memory
- prediction model
- search space