policy
Behavioral-Cloning-for-Self-Driving-Cars
RachaCodez · PyTorch
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Overview
Name
Behavioral-Cloning-for-Self-Driving-Cars
Author
RachaCodez
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This project implements a deep learning pipeline that learns to drive a car in a simulator using behavioral cloning. A Convolutional Neural Network (CNN) is trained to predict steering angles directly from front-facing camera images, mimicking human driving behavior.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list Behavioral-Cloning-for-Self-Driving-Cars as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list Behavioral-Cloning-for-Self-Driving-Cars yet.
Datasets that reference this policy
0No datasets reference Behavioral-Cloning-for-Self-Driving-Cars yet.