The impact of environmental stochasticity on value-based multiobjective reinforcement learning.
Peter VamplewCameron FoaleRichard DazeleyPublished in: Neural Comput. Appl. (2022)
Keyphrases
- multi objective
- reinforcement learning
- multiobjective optimization
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- objective function
- multiobjective genetic algorithm
- state space
- function approximation
- multiple objectives
- environmental protection
- particle swarm optimization
- markov decision processes
- stochastic model
- temporal difference
- dynamic programming
- learning algorithm
- genetic programming
- learning classifier systems
- conflicting objectives
- optimum design