A Population Based Rewarding for Reinforcement Learning to Control Genetic Algorithms.
Yoshitaka SakuraiSetsuo TsurutaPublished in: SITIS (2012)
Keyphrases
- reinforcement learning
- genetic algorithm
- control problems
- simulated annealing
- optimal control
- particle swarm optimization
- control system
- robot control
- multi objective
- control policy
- state space
- model free
- evolutionary computation
- function approximation
- robotic control
- evolutionary search
- evolutionary learning
- action selection
- control method
- neural network
- optimization method
- differential evolution
- fitness function
- fuzzy logic
- evolutionary algorithm
- multi agent
- learning algorithm
- robotic systems
- control strategy
- adaptive control
- control strategies
- tabu search
- optimal policy
- artificial neural networks
- modular neural networks