MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.
Yasaman JafariDheeraj MekalaRose YuTaylor Berg-KirkpatrickPublished in: CoRR (2024)
Keyphrases
- multi objective
- optimization algorithm
- reinforcement learning
- multiple objectives
- conflicting objectives
- evolutionary optimization
- evolutionary algorithm
- multiobjective optimization
- optimum design
- multi objective optimization
- genetic algorithm
- optimization method
- global optimization
- particle swarm optimization
- optimization problems
- particle swarm
- continuous optimization
- decision variables
- objective function
- engineering design problems
- multi objective optimization problems
- model free
- learning process
- function approximation
- multi objective evolutionary algorithms
- discrete geometry
- optimization process
- continuous state
- discrete space
- estimation of distribution algorithms
- finite number
- markov decision processes
- simulated annealing
- multi agent
- learning algorithm