metadriverse/metadrive-benchmark

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Created over 2 years ago
Updated almost 2 years ago

metadriverse/metadrive-benchmark

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

metadrive

MetaDrive: Open-source driving simulator

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"

ACO

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

SimGen

Simulator-conditioned Driving Scene Generation

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)

metadrive-scenario

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

TS2C

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

HACO

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

CoPO

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

metadriverse.github.io