A proof of convergence of inverse reinforcement learning for multi-objective optimization.
Akira KitaokaRiki EtoPublished in: CoRR (2023)
Keyphrases
- multi objective optimization
- inverse reinforcement learning
- multi objective
- evolutionary algorithm
- multi objective evolutionary algorithms
- bayesian nonparametric
- partially observable environments
- preference elicitation
- genetic algorithm
- multi objective optimization problems
- differential evolution
- convergence rate
- convergence speed
- pareto optimal
- reward function
- multiple objectives
- multi objective genetic algorithm
- multi objective genetic algorithms
- nsga ii
- bi objective
- optimization algorithm
- optimization problems
- objective function
- temporal difference
- simulated annealing
- dynamic programming
- multi agent systems