This repo collets few LMPC examples coded in Python

广东工业大学 LaTeX 论文模板

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

Applying RL methods for autonomous driving in Carla simulator.

Learn how to use CARLA with basic APIs

Multi-agent reinforcement learning interface for CARLA Autonomous Driving simulator compatible with PettingZoo

Carla enivronment to collect data

[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving

[CoRL'18] Conditional Affordance Learning

Open-source simulator for autonomous driving research.

Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla

强化学习第二次作业，自动驾驶

Social Attention for Autonomous Decision-Making in Dense Traffic

Driving in CARLA using model-free deep reinforcement learning

用PyTorch重构流传最广的Keras、TensorFlow做的TORCS实验。训练DDPG模型。

MotionPlanner

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

A bachelor thesis project about autonomous car maneuver around roundabout using RL-DQN

The code will soon be open source.

Autonomous Driving on Carla simulator using Deep Deterministic Policy Gradients. Based on Kendall, et. al. 2018.