An MPC based trajectory planning approach using the Frenet Frame

基于c++实现的横纵向解耦MPC轨迹规划

Implementation of the real-time MPC based on iLQR in Carla simulator

Carla-Acados interface for MPC

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

This project is developing a hybrid DRL-MPC model for motion planning of AVs at unsignalized intersection. The work is based on the Highway Env (https://github.com/Farama-Foundation/HighwayEnv)

Implementations of Reinforcement Learning and Planning algorithms

Apply safe RL methods from safety-starter-agents in highway-env

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A C++ ROS package implementing trajectory planning using MPC for an autonomous vehicle project

A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla

An MPC Motion Planner in ROS/C++

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

reinforcement learning based agents for self-driving in CARLA

Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CARLA simulator. Enhances safety and efficiency through inform…

通过carla-ros-bridge在carla上实现自动驾驶planning and control。

使用 Carla 和 ROS2 部署规划控制常用算法，并在 carla_ad_demo 场景中运行

General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

Reinforcement Learning codebase for self-driving car in Carla

Python sample codes for robotics algorithms.

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

Highway driving simulator incorporating NGSIM dataset using reinforcement learning

Applying Constrained Policy Networks on Highway Environment

Highway-Env Agent using DQN

自动驾驶规划控制python代码实现

PyTorch深度学习快速入门教程（绝对通俗易懂！）

A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction