F1TENTH Autonomous Sim-Racing using AutoDRIVE Ecosystem
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Updated
Sep 23, 2024 - Python
F1TENTH Autonomous Sim-Racing using AutoDRIVE Ecosystem
Luca Albinescu's Dissertation Project for Newcastle University. This project uses code from multiple sources in order to create a combined Imitation and Reinforcement Learning Agent that can drive autonomously inside the f1tenth (gym) simulated environment.
Simple path sampling implementation
The AlphaGo for car racing.
Simulator for CAD2CAV Project.
Display of my skills in optimal control for autonomous race cars
Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems" by S. Yang, Y. Chen, X. Yin, R. Mangharam
F1TENTH Autonomous Sim-Racing using AutoDRIVE Ecosystem
Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.
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