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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 yet

Compatible environments

0

No environments list Delivery-Route-Optimization-with-Reinforcement-Learning yet.

Datasets that reference this policy

0

No datasets reference Delivery-Route-Optimization-with-Reinforcement-Learning yet.