chaiyanana

chaiyanana's Stars

• RyYAO98/CILQR_Motion_Planning

  This mini project implements a modified version of CILQR presented by "Chen, J., Zhan, W., & Tomizuka, M. (2017, October). Constrained iterative lqr for on-road autonomous driving motion planning. In 2017 IEEE 20th International conference on intelligent transportation systems (ITSC) (pp. 1-7). IEEE."

  Language:Python64

• lassepe/peters2024ral-code

  Code for the RA-L 2024 paper "Contingency Games for Multi-Agent Interactions."

  Language:Julia20

• ZikangZhou/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  1

• bjack205/altro

  A Fast Solver for Constrained Trajectory Optimization

  Language:C++6813

• brian00715/PnC-Interview-Coding

  规划控制相关岗位高频代码题整理与参考答案

  Language:C++41

• HKUST-Aerial-Robotics/MIND

  Language:Python9418

• HKUST-Aerial-Robotics/SIMPL

  SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

  Language:Python19322

• tg623623nana/Vehicle_Motion_Planning_with_Obstacles_Avoidance_using_MPC

  Motion Planning for Vehicle with Static and Dynamic Obstacle Avoidance using Optimal Based Collision Avoidance (OBCA).

  Language:Python262

• ChaokangRen/pnc_research

  some research in decision,planning and control

  Language:C++21

• idiap/ilqr_planner

  A C++ iLQR library that allows you to solve iLQR optimization problem on any robot as long as you provide an URDF file describing the kinematics chain of the robot

  Language:Jupyter Notebook107

• JingyanXing/MPC_TrajectoryPlanning

  基于c++实现的横纵向解耦MPC轨迹规划

  Language:Makefile216

• renjieDLUT/explore_planning_problem

  探索并整理自动驾驶及其他领域的决策规划问题

  Language:C++41

• alberto-mate/CARLA-SB3-RL-Training-Environment

  🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.

  Language:Python438

• hs867785578/my_note

  32

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.2k1.8k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.9k4.7k

• raphychek/mbappe-nuplan

  Language:Python595

• SailorBrandon/GT-BMPC

  This is the repo for the submitted paper "Automated Lane Merging via Game Theory and Branch Model Predictive Control".

  Language:Python7

• michaelczhou/chatgpt_academic

  科研工作专用ChatGPT/GLM拓展，特别优化学术Paper润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型

  1

• ZhaiMen-Hub/DecisionPlanning

  The repository implements some decision-making and contingency planning (contingency model predictive control) methods.

  Language:Python6022

• modanesh/LEADER

  Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents

  Language:C++271

• MCZhi/GameFormer-Planner

  [ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles

  Language:Python14717

• meng216073/GameFormer

  [ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

  1

• meng216073/GameFormer-Planner

  [ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles

  1

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k739

• avillaflor/P2DBM

  Language:Python101

• feiyuxiaoThu/apollo-planner-standalone

  apollo planner standalone

  Language:C++21

• pcottle/learnGitBranching

  An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!

  Language:JavaScript30.5k5.7k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.8k4.5k

• yangmingustb/easy_apollo

  Language:C++5030