An open autonomous driving platform

Safety-Gymnaisum is a highly scalable and customizable safe reinforcement learning environment library.

自动驾驶规划控制常用算法c++代码实现

丁真宇宙，一眼丁真合集，已有两千多张图片。The YYDZ (Yi Yan Ding Zhen / One Eye Ding Zhen) dataset.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

My own implementation of Reinforcement Learning algorithms using Tensorflow 2.0

PyTorch implementation of Constrained Policy Optimization

Implementation of PPO Lagrangian in PyTorch

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

Unreal Engine Plugin to enable ROS Support

Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based extension (MBPO).

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

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

一份关于无人驾驶汽车的运动控制相关文章资源列表

Python codes for advanced control