policy

rl-inventory-management

thakur-027 · PyTorch

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Overview

Name
rl-inventory-management
Author
thakur-027
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
This project explores using Reinforcement Learning to solve a classic inventory management problem. The goal is to train an agent that learns an optimal restocking policy to minimize holding costs and stockouts.

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 rl-inventory-management yet.

Datasets that reference this policy

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No datasets reference rl-inventory-management yet.