Reinforcement Learning for Optimization of COVID-19 Mitigation Policies.
Varun KompellaRoberto CapobiancoStacy JongJonathan BrowneSpencer J. FoxLauren Ancel MeyersPeter R. WurmanPeter StonePublished in: AI4SG@AAAI Fall Symposium (2020)
Keyphrases
- reinforcement learning
- optimal policy
- policy search
- optimization algorithm
- optimization problems
- multi agent
- control policies
- optimization method
- reinforcement learning algorithms
- reward function
- global optimization
- fitted q iteration
- markov decision process
- partially observable markov decision processes
- optimization process
- combinatorial optimization
- search algorithm
- optimization methods
- constrained optimization
- optimization model
- data sets
- markov decision processes
- supervised learning
- learning process
- hierarchical reinforcement learning
- genetic algorithm