policy
Adaptive-Neural-Network-Based-Control-of-Autonomous-car-in-AirSim
Rishikesh-Jadhav · PyTorch
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Overview
Name
Adaptive-Neural-Network-Based-Control-of-Autonomous-car-in-AirSim
Author
Rishikesh-Jadhav
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased m
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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