LawranceXcl

LawranceXcl's Stars

• changkun/modern-cpp-tutorial

  📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

  Language:C++24.3k6221333k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k3871515.4k

• jonas/tig

  Text-mode interface for git

  Language:C12.5k165863619

• zhanwen/MathModel

  研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

  Language:TeX8.4k117422.1k

• BehaviorTree/BehaviorTree.CPP

  Behavior Trees Library in C++. Batteries included.

  Language:C++3.1k71551679

• borglab/gtsam

  GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

  Language:C++2.7k60625779

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.8k1941439

• BehaviorTree/Groot

  Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP

  Language:C++75626125247

• int8/monte-carlo-tree-search

  Monte carlo tree search in python

  Language:Python584107170

• VincentWong3/automatic-driving-decision-and-planning-for-matlab

  Language:MATLAB56073237

• qiwihui/reinforcement-learning-an-introduction-chinese

  《Reinforcement Learning: An Introduction》（第二版）中文翻译

  Language:Python4597996

• dongjing3309/gtsam-examples

  GTSAM Tutorial Examples

  Language:C++31851196

• gtrll/gpmp2

  Gaussian Process Motion Planner 2

  Language:C++318204399

• libai1943/CartesianPlanner

  Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

  Language:C++28516896

• bitterengsci/My-ebook

  26060146

• zhuliquan/reinforcement_learning_basic_book

  这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

  Language:Python25478102

• jchengai/gpir

  [ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement

  Language:C++2296852

• Boyang--Li/Motion-Planning-Course

  Motion Planning for Mobile Robots Course

  Language:C++1887184

• namoshizun/PyPOMDP

  Python implementation of POMDP framework and PBVI & POMCP algorithms.

  Language:Python1053626

• ori-drs/isam

  iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM).

  Language:C++10410339

• GeorgePik/POMCP

  Implementation of Partially Observable Monte Carlo Planning Algorithm

  Language:Python550216

• JuliaPOMDP/POMCPOW.jl

  Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.

  Language:Julia5562017

• chenyitian/reinforcement-learning-an-introduction

  《Reinforcement Learning: An Introduction》（第二版）中文翻译

  Language:Python37206

• zhanwen/booklist

  记录平常看的书

  31317

• modanesh/LEADER

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

  Language:C++27110

• BKHao/Chimes

  A little useful C++ library.

  Language:C++6101

• daohu527/ipath

  apollo path and simple map making tool

  Language:Python21

• icf/Code

  Language:Fortran2101

• INFLUENCEorg/POMCP-SIS

  Language:C++1301

• Semanti1/hyp_despot_testing

  Forked from AdaCompNUS/hyp-despot. Partallel POMCP vs Hyp-despot comparison.

  Language:C++1100