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Delivery-Route-Optimization-with-Reinforcement-Learning
Gsaachi · PyTorch
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Overview
Name
Delivery-Route-Optimization-with-Reinforcement-Learning
Author
Gsaachi
Framework
PyTorch
License
unknown
Skill type
aerial
Evidence level
untested
Task description
This project implements a Reinforcement Learning (RL) environment for optimizing delivery routes between cities. The system models multiple transport modes (flight, train, truck, ship) with varying costs and speeds. The agent learns to choose the most efficient and cost-effective delivery strategy.
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
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Datasets that reference this policy
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