A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Yue XuYuxuan SongDechang PiYang ChenShuo QinXiaoge ZhangShengxiang YangPublished in: Knowl. Based Syst. (2023)
Keyphrases
- multi objective optimization
- dynamic environments
- reinforcement learning
- multi objective
- evolutionary algorithm
- reinforcement learning algorithms
- reinforcement learning agents
- autonomous agents
- function approximation
- path planning
- genetic algorithm
- multi objective optimization problems
- mobile robot
- multiple objectives
- pareto optimal
- differential evolution
- optimal policy
- multi objective genetic algorithm
- transfer learning
- pareto dominance
- pareto frontier
- changing environment
- potential field
- real environment
- pareto optimal set
- temporal difference
- adaptive control
- markov decision processes
- particle swarm optimization
- state space
- dynamic programming
- plan execution
- multi objective evolutionary algorithms
- estimation of distribution algorithms
- nsga ii
- biologically inspired
- optimization algorithm
- multi objective genetic algorithms
- neural network