A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning.
Zhenggang TangKai YanLiting SunWei ZhanChangliu LiuPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- public health
- multi agent
- action selection
- multi agent systems
- prediction accuracy
- multiagent systems
- intelligent agents
- learning agent
- autonomous agents
- software agents
- prediction model
- multi agent environments
- mobile agents
- learning capabilities
- learning agents
- function approximation
- decision making
- state abstraction
- agent systems
- simulation model
- reinforcement learning algorithms
- autonomous learning
- prediction algorithm
- decision theoretic
- agent architecture
- prediction error
- markov decision processes
- state space
- state action
- dynamic programming
- multi agent reinforcement learning
- agent technology
- exploration strategy
- reinforcement learning agents
- markov decision process
- real robot
- reward function
- model free
- agent model
- machine learning
- learning tasks
- dynamic environments
- learning algorithm