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aco

[ECCV 2022] Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

bevgen

cat

[CoRL'23] Adversarial Training for Safe End-to-End Driving

copo

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

haco

[ICLR 22] Official implementation of paper: "Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization"

metadrive

MetaDrive: Open-source driving simulator

metadrive-benchmark

Benchmark result of different RL algorithms on MetaDrive environments, including Multi-agent RL (IPPO, centralized critics, CoPO).

metadrive-scenario

This repo contains scenarios from different source for training and testing autonomous vehicles.

metadriverse.github.io

openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.

policydissect

[NeurIPS 2022] Official implementation of the paper: "Human-AI Shared Control via Policy Dissection"

pvp

Official release for the code used in paper: Learning from Active Human Involvement through Proxy Value Propagation (NeurIPS 2023 Spotlight)

scenarionet

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

trafficgen

[ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"

ts2c

[ICLR 2023] The official code for paper "Guarded Policy Optimization with Imperfect Online Demonstrations"