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Contingency Model Predictive Control for Linear Time-Varying Systems; Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization; Leader-follower game; stac…
[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF,…
Mastering Diverse Domains through World Models
BEVFormer, UniAD, VAD in CARLA under Closed-Loop Evaluation
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
awesome-autonomous-driving
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
C++ library based on tensorrt integration
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Official GitHub repository for Argoverse dataset
TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Train auto_car in CARLA simulator with RL algorithms(SAC).
Massively Parallel Deep Reinforcement Learning. 🔥