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Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning.
Teddy Lazebnik
Published in:
Eng. Appl. Artif. Intell. (2023)
Keyphrases
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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