Hierarchical reinforcement learning using a modular fuzzy model for multi-agent problem.
Toshihiko WatanabeYoshiya TakahashiPublished in: SMC (2007)
Keyphrases
- fuzzy model
- hierarchical reinforcement learning
- multi agent
- reinforcement learning
- fuzzy modeling
- input output
- takagi sugeno
- fuzzy systems
- membership functions
- nonlinear systems
- fuzzy rules
- fuzzy clustering
- model free
- fuzzy controller
- state abstraction
- fuzzy sets
- rule base
- multiple agents
- fuzzy inference system
- state space
- initial values
- average reward
- control system
- decision making
- information granulation
- learning algorithm
- single agent
- function approximation
- controller design
- reinforcement learning algorithms
- reward function
- fuzzy control
- neural network
- probabilistic model
- data analysis
- pattern recognition
- artificial intelligence
- data mining