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AutoDriving-Planning-Control-Algorithm-Simulation-Carla(各种算法)
Experimentation on Carla Simulator for running DQN RL agents for Autonomous Driving
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch](carla0.9.8/pytorch)
Applying RL methods for autonomous driving in Carla simulator.
A autonomous agent for the CARLA Challenges(recently)
Implementation of an Advanced Emergency braking system in CARLA(torch and carla and aebs)
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
Some example code and utilities to interact with the Carla Simulator, mainly for quick feature tests.(carla)
CARLA Simulator Autonomous Racing
Implementation of the real-time MPC based on iLQR in Carla simulator(MPC and RL and pytorch)
A CARLA simulation environment integrated with a PID controller for lateral and longitudinal vehicle control(recently)
Carla_The_RL_Self-Driving Car
自动驾驶规划控制python代码实现
Implements a Constrained Iterative LQR controller for an AV in CARLA(iLQR and carla)
Paper list about Autonomous Driving in CoRL 2023.
CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning(pytorch/carla098)
A collection of reference environments for offline reinforcement learning
Deep reinforcement learning - DDPG algorithm with self driving car in Torcs
Practical implementation of the literature review section for my masters paper entitled "Deep Reinforcement Learning for Autonomous Driving"
Modularized Implementation of Deep RL Algorithms in PyTorch
Deep Reinforcement Learning in CARLA simulator(recently)
Implementation of motion planning for self-driving cars based on EM Planner in Carla.(EM planning and carla9.14 and 各种算法)
Integrating Deep Reinforcement Learning with Path planning for Automated Driving
Learn how to use CARLA with basic APIs(carla-learning)
[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.(recently)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.