PPDXQN

PPDXQN's Stars

• 1AoB/shared_bike

  共享单车

  Language:C++51

• superwjfeng/SharedBike

  Language:C++11

• RoninQiu/TinyWebServer

  Just Learn from Qinguoyi's

  Language:C++81

• EZLippi/Tinyhttpd

  Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

  Language:C11.3k3.9k

• CHH3213/chhRobotics_CPP

  自动驾驶规划控制常用算法c++代码实现

  Language:C++744231

• MajidMoghadam2006/RL-frenet-trajectory-planning-in-CARLA

  Language:Python16839

• thefatbandit/frenet-gym

  OpenAI Gym Environment for Carla

  Language:Python32

• Apress/Reinforcement-Learning-for-Sequential-Decision-and-Optimal-Control

  Source Code

  Language:Python12922

• pytorch/rl

  A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

  Language:Python2.2k290

• aravindr93/trajopt

  Trajectory optimization algorithms for robotic control.

  Language:Python10117

• nicklashansen/tdmpc2

  Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

  Language:Python32669

• DeepRLChinese/DeepRL-Chinese

  Language:Python53295

• wangshusen/DRL

  Deep Reinforcement Learning

  3.2k570

• ILoveStudying/GAT

  图神经网络课程——图注意力网络

  Language:Python72

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k687

• gordicaleksa/pytorch-GAT

  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

  Language:Jupyter Notebook2.4k322

• hari-sikchi/LOOP

  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]

  Language:Python326

• Intelligent-Driving-Laboratory/GOPS

  General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.

  Language:Python18635

• soc-ucsd/DeeP-LCC

  DeeP-LCC for mixed traffic

  Language:Python316

• neka-nat/ddp-gym

  Differential Dynamic Programming controller operating in OpenAI Gym environment.

  Language:Python8623

• WilsonWangTHU/POPLIN

  Language:Python9513

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java95.3k12.1k

• tylerh111/cooperative-adaptive-cruise-control-rl

  CACC using a reiforcement learning approach

  Language:Python93

• flow-project/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python1.1k372

• PaddlePaddle/PARL

  A high-performance distributed training framework for Reinforcement Learning

  Language:Python3.2k820

• WilsonWangTHU/mbbl

  Language:Python38268

• RoyaFiroozi/Centralized-Planning

  Motion planning and collision avoidance using MPC and strong duality

  Language:MATLAB4913

• YukunXia/Carla_iLQR_MPC

  Implementation of the real-time MPC based on iLQR in Carla simulator

  Language:Python25653

• anita-hu/TF2-RL

  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

  Language:Python29668

• PKU-Alignment/omnisafe

  OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python903130