Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning.
Teddy LazebnikPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- agent based simulation
- data driven
- reinforcement learning
- resource allocation
- simulation model
- simulation models
- allocate resources
- resource allocation problems
- function approximation
- grid resource
- distributed resource allocation
- agent behavior
- resource management
- limited resources
- agent model
- markov decision processes
- social systems
- optimal policy
- resource constraints
- reinforcement learning algorithms
- state space
- information systems
- multi agent
- patient safety
- dynamic allocation
- learning agents
- action space
- electricity markets
- temporal difference
- model free