policy
Hospital_Queue_Optimization_RL
kina-ida · PyTorch
or hover any field below to flag it
Overview
Name
Hospital_Queue_Optimization_RL
Author
kina-ida
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Hospitals face high patient inflow & limited resources. This RL project optimizes queue management & appointment scheduling using PPO agents. Features Gym env, trained model, 50-instance eval. Reduces waiting times while respecting medical constraints.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list Hospital_Queue_Optimization_RL yet.
Datasets that reference this policy
0No datasets reference Hospital_Queue_Optimization_RL yet.