Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach.
Majid MazouchiYongliang YangHamidreza ModaresPublished in: CoRR (2020)
Keyphrases
- optimal control
- data driven
- multi objective
- reinforcement learning
- control problems
- dynamic programming
- control strategy
- evolutionary algorithm
- feedback control
- infinite horizon
- class of nonlinear systems
- multi objective optimization
- optimization algorithm
- risk sensitive
- optimal control problems
- brownian motion
- dynamic environments
- reinforcement learning algorithms
- multiple objectives
- control law
- particle swarm optimization
- state space
- objective function
- model free
- action selection
- average cost
- neural network
- function approximation
- rl algorithms
- actor critic
- stochastic control
- genetic algorithm