PyTorch Tutorial for Deep Learning Researchers

Use PyTorch Models with CasADi and Acados

Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving https://mczhi.github.io/DIPP/

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

This repository contains the code for the paper Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

Repository for "Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception" - RSS 2021

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

Implementation of implicit dual control-based active uncertainty learning for human-robot interaction.

Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.

A library of multi-agent reinforcement learning components and systems

This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations

This repository will contain the code used for the IEEE RA-L + ICRA 2021 publication: "Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians"

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

MARL for autonomous vehicles.

Official Repository for Argoverse Motion Forecasting Baselines

This repository contains the code for reproducing the results of our evaluation metrics on regression tasks.

Code for the paper: "MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation"

Safe Reinforcement Learning algorithms

DBC file for Tesla Model 3 CAN messages

Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354

A minimalist environment for decision-making in autonomous driving

Model Predictive Contouring Controller (MPCC) for Autonomous Racing