HongdaZhang

HongdaZhang's Stars

• 6-robot/wpr_simulation

  Language:C++66687

• EnderMandS/orbbec_competition

  第四届3DV创新应用竞赛

  Language:CMake465

• herolab-uga/gut-pursuit-evasion-robotarium

  Software codes for running the Game-theoretic Utility Tree (GUT) algorithm for the multi-robot Pursuit-Evasion problem in the Robotarium's simulator-hardware multi-robot testbed.

  Language:Python20

• wang-chen/formation

  ROS package for formation and rendezvous of multi-drone (T-Cyber 2020)

  Language:Python429

• ChampagneAndfragrance/Diffusion_RL

  This repo has the code and suplementary materials of our 2024 RAL submission.

  Language:Python135

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.5k803

• philtabor/Multi-Agent-Reinforcement-Learning

  PyTorch implementations of MADDPG, MAPPO (coming)

  Language:Python13016

• philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

  Language:Python33676

• CHH3213/chhRobotics

  自动驾驶规划控制python代码实现

  Language:Jupyter Notebook567187

• CHH3213/chhRobotics_CPP

  自动驾驶规划控制常用算法c++代码实现

  Language:C++858263

• Pomax/BezierInfo-2

  The development repo for the Primer on Bézier curves, https://pomax.github.io/bezierinfo

  Language:HTML2.4k292

• Pomax/bezierinfo

  A Primer on Bezier Curves

  Language:HTML756109

• wwxFromTju/deepmind_MAS_enviroment

  some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

  Language:Python12925

• geek-ai/MAgent

  A Platform for Many-Agent Reinforcement Learning

  Language:Python1.7k332

• Rafael1s/Deep-Reinforcement-Learning-Algorithms

  32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

  Language:Jupyter Notebook848206

• uoe-agents/epymarl

  An extension of the PyMARL codebase that includes additional algorithms and environment support

  Language:Python584152

• Ericonaldo/ILSwiss

  ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (template) in PyTorch.

  Language:Python16612

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python646126

• tinyzqh/light_mappo

  Lightweight version of MAPPO to help you quickly migrate to your local environment.

  Language:Python62990

• marlbenchmark/off-policy

  PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

  Language:Python46476

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.5k287

• caochao39/aerial_navigation_development_environment

  Leveraging system development and robot deployment for aerial autonomous navigation.

  Language:C++35482

• TimeBreaker/MARL-papers-with-code

  Multi-Agent Reinforcement Learning (MARL) papers with code

  35049

• microsoft/AirSim

  Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

  Language:C++17k4.7k

• Tsinghua-MARS-Lab/DenseTNT

  Language:Python496122

• Henry1iu/TNT-Trajectory-Prediction

  A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

  Language:Python547104

• DQSSSSS/VectorNet

  VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

  Language:Python24649

• gwding/draw_convnet

  Language:Python2.7k520

• martisak/dotnets

  Create simple drawings of neural networks using graphviz

  Language:Python25971

• ZJU-FAST-Lab/Swarm-Formation

  Formation Flight in Dense Environments

  Language:C++44168