Marin Bao's repositories
DRL-Autonomous-Navigation-with-ROS2-and-TD3
DRL Autonomous Navigation with ROS2 Noetic and TD3
Risk-Aware-Transfer-RL
This project focuses on implementing a novel approach to Risk-Aware Transfer in Reinforcement Learning (RL). This project introduces a unique perspective by incorporating risk at the test level rather than during training.
HPNet
中科大——视觉组[CVPR 2024] HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
Scene-Rep-Transformer
[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
--SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
highenv-Safe-MARL-in-Autonomous-Driving
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving
Risk-aware-contingency-planning-with-multi-modal-predictions
This repository includes the source code associated with the paper "RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions".
intersection-carla-gym
Intersection Gym environment in CARLA Town 3
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
JLUThesis2020
吉林大学硕博学位论文 LaTeX 模板——jluthesis2020
ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
DRL-for-Autonomous-Driving
Deep Reinforcement Learning algorithms wrapper for CARLA simulator
openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
Simple-Bird-Eye-View-for-Autonomous-Car-Driving
Project creates BEV image of the given multi sensor data from CARLA simulator.
ros-agent
This project is an AVP simulation based on Autoware and CARLA. The Autonomous Driving System is fully based on HDMap.
carla-real-traffic-scenarios
carla复现NGSIM
Autonomous-CARLA
This repo contains experimental code for the CARLA Simulation Environment
DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
TrajGen
(T-ITS) TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving
-c-
自动驾驶规划控制常用算法c++代码实现
iPLAN
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making
Researched and compared DQN, Double DQN, and Dueling Double DQN for autonomous vehicle lane changing in Carla simulation. Evaluated performance and collision rates to guide model selection for safer real-world applications. Findings contribute to enhancing autonomous vehicle safety and efficiency.
VAD--
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
ROS1-URAP
The ROS1 Workspace for URAP project on co-simulation between ROS1, Carla, and Sumo
HighwayEnv
A minimalist environment for decision-making in autonomous driving
Heterogeneous-Graph-RL
Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"