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2020_carla_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

apollo

An open autonomous driving platform

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

automotivesaferl

Training and evaluation scripts for applying formal methods and reinforcement learning to autonomous driving problems.

autonomousmerging.jl

Implementation of a highway merging scenario

autonomousplatooning

Control system for a platoon of autonomous vehicles

awesome-trajectory-prediction

bayesianrlforautonomousdriving

belief-planning

carla

Open-source simulator for autonomous driving research.

carla-lane_detection

carla-rl

Reinforcement Learning Agents Trained in the CARLA Simulator

carla_ilqr_mpc

Implementation of the real-time MPC based on iLQR in Carla simulator

charlesscripts

My awesome scripts for Arch Linux or Ubuntu Gnome latest LTS or MacBook.

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

dipp

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

dmpc_for_platoons

dnmpc-platooning

The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning

dual_control_hri

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

ensemblequantilenetworks

go-mpc

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"

haicu

highway-env

A minimalist environment for decision-making in autonomous driving

interp-e2e-driving

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

lane-change-prediction-lstm

LSTM lane-changing detection utilizing highD dataset

lc_ngsim

lane change trajectories extracted from NGSIM

lmpc_simpleexample

macad-gym

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:

marl_cavs

MARL for autonomous vehicles.

mava

A library of multi-agent reinforcement learning components and systems