Jay's repositories
AutomatedValetParking
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
On_Ramp_Merge_Safe_RL
we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario
convex_optimization_notes
主要根据bilibili凌青教授课程以及boyd编著的convex optimization书籍整理
awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
PythonRobotics
Python sample codes for robotics algorithms.
Safe-Reinforcement-Learning-Baseline
The repository is for safe reinforcement learning baselines.
AutoDriving-Planning-Control-Algorithm-Simulation-Carla
AutoDriving-Planning-Control-Algorithm-Simulation-Carla
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
d3rlpy
An offline deep reinforcement learning library
DI-engine
OpenDILab Decision AI Engine
PaperReading
PaperReading Notes concerning Motion Planing & Reinforcement Learning & Robotics & Autonomous Driving
dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
ElegantRL
Cloud-native Deep Reinforcement Learning. 🔥
gpir
[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
highway-env
A minimalist environment for decision-making in autonomous driving
Leetcode_practice
剑指offer刷题集锦&数据结构算法学习
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
prediction_based_reachability
For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"
rarnop19
MIT 16.S498: Risk Aware and Robust Nonlinear Planning (rarnop) by Ashkan Jasour
RTD_tutorial
Get started with Reachability-based Trajectory Design for static obstacles
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
tianshou
An elegant PyTorch deep reinforcement learning library.