A Self-Organized Fuzzy-Neuro Reinforcement Learning System for Continuous State Space for Autonomous Robots.
Masanao ObayashiTakashi KuremotoKunikazu KobayashiPublished in: CIMCA/IAWTIC/ISE (2008)
Keyphrases
- autonomous robots
- continuous state spaces
- reinforcement learning
- robot navigation
- continuous state
- state space
- robot control
- mobile robot
- control problems
- action space
- robotic systems
- markov decision processes
- rl algorithms
- function approximation
- motion control
- neural network
- control law
- model free
- optimal policy
- partially observable markov decision processes
- learning problems
- reinforcement learning algorithms
- fuzzy rules
- dynamic environments
- supervised learning
- dynamical systems
- dynamic programming
- real valued
- multiple robots
- learning algorithm
- machine learning