A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions.
Luis Miralles-PechuánFernando JiménezHiram PonceLourdes Martínez-VillaseñorPublished in: CIKM (2020)
Keyphrases
- genetic algorithm
- action selection
- credit assignment
- neural network
- learning algorithm
- reinforcement learning
- multi objective
- metaheuristic
- reward function
- simulated annealing
- multi agent
- cooperative
- artificial neural networks
- learning rate
- situation calculus
- information technology
- plan recognition
- dynamic programming
- function approximation
- e government
- state space
- tabu search
- optimal policy
- multiple agents
- evolutionary algorithm
- reasoning about actions
- state action