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Deep_Q-Learning-Model

elroofey · PyTorch

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Overview

Name
Deep_Q-Learning-Model
Author
elroofey
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Reinforcement Learning-Based Misbehavior Detection in V2X Networks This project implements a Deep Q-Learning (DQN) model for detecting misbehavior in Vehicle-to-Everything (V2X) communication networks. The model is trained to classify malicious and normal vehicles based on Basic Safety Messages (BS

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list Deep_Q-Learning-Model yet.

Datasets that reference this policy

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