Jay's Projects
AutoDriving-Planning-Control-Algorithm-Simulation-Carla
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
An index of algorithms for offline reinforcement learning (offline-rl)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
主要根据bilibili凌青教授课程以及boyd编著的convex optimization书籍整理
An offline deep reinforcement learning library
OpenDILab Decision AI Engine
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
Cloud-native Deep Reinforcement Learning. 🔥
[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
A minimalist environment for decision-making in autonomous driving
剑指offer刷题集锦&数据结构算法学习
we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario
PaperReading Notes concerning Motion Planing & Reinforcement Learning & Robotics & Autonomous Driving
References on Optimal Control, Reinforcement Learning and Motion Planning
For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"
Python sample codes for robotics algorithms.
MIT 16.S498: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour
notes for ros learning and demo
Get started with Reachability-based Trajectory Design for static obstacles
The repository is for safe reinforcement learning baselines.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An elegant PyTorch deep reinforcement learning library.