Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
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Updated
Nov 13, 2025 - Python
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Plugin based interface program for ETS2/ATS.
[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
This is the code for our lab's autonomous mobile robot
L5Kit - https://woven.toyota
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Odometry & Control"
🔥GrowSP in PyTorch (CVPR 2023)
NTRIP correction data dissemination server implementation (ntripcaster rewrite in python)
CARLA self-driving simulation using PPO with RLlib in Python.
Implementation of the world model architecture for self driving out of Wayve
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
Control Any Computer Using LLMs.
The AlphaGo for car racing.
This package contains the necessary tools for simulating a self-driving bicycle. It includes the URDF model, controllers, SLAM toolbox, and Navigation to implement the bicycle.
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
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