A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions.
Luis Miralles-PechuánFernando JiménezHiram PonceLourdes Martínez-VillaseñorPublished in: CoRR (2020)
Keyphrases
- genetic algorithm
- action selection
- reinforcement learning
- artificial neural networks
- state space
- multi agent
- e government
- credit assignment
- evolutionary computation
- plan recognition
- multi objective
- initial state
- state transitions
- reward function
- public health
- state action
- learning algorithm
- simulated annealing
- function approximation
- situation calculus
- decision theoretic
- information sharing
- optimal policy
- particle swarm optimization
- reinforcement learning algorithms
- fuzzy logic
- population size
- dynamic programming
- information technology
- multi agent reinforcement learning
- cooperative