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franz248's Projects

carla-aebs icon carla-aebs

Implementation of an Advanced Emergency braking system in CARLA(torch and carla and aebs)

carla-driving-rl-agent icon carla-driving-rl-agent

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

carla-interactive-script icon carla-interactive-script

Some example code and utilities to interact with the Carla Simulator, mainly for quick feature tests.(carla)

carla_ilqr_mpc icon carla_ilqr_mpc

Implementation of the real-time MPC based on iLQR in Carla simulator(MPC and RL and pytorch)

carla_pid icon carla_pid

A CARLA simulation environment integrated with a PID controller for lateral and longitudinal vehicle control(recently)

constrained-ilqr icon constrained-ilqr

Implements a Constrained Iterative LQR controller for an AV in CARLA(iLQR and carla)

curla icon curla

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning(pytorch/carla098)

d4rl icon d4rl

A collection of reference environments for offline reinforcement learning

deeprl icon deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

drl_carla icon drl_carla

Deep Reinforcement Learning in CARLA simulator(recently)

emplanner_carla icon emplanner_carla

Implementation of motion planning for self-driving cars based on EM Planner in Carla.(EM planning and carla9.14 and 各种算法)

learn-carla icon learn-carla

Learn how to use CARLA with basic APIs(carla-learning)

lmdrive icon lmdrive

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

macad-gym icon 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:

mats-gym icon mats-gym

Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.(recently)

minimalrl icon minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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