Li-Rongtao

Li-Rongtao's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python36.3k47919.8k6.2k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python31k6251798.2k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19.2k538496.3k

• 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 Notebook16.6k386404.6k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.5k604443k

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python9.1k2901935k

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.3k2429746

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On

  Hands-on Deep Reinforcement Learning, published by Packt

  Language:Python2.9k119821.3k

• RedstoneWill/HsuanTienLin_MachineLearning

  2.7k1035855

• 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:Python2.5k17685803

• eclipse/sumo

  Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

  2k7213.2k1.2k

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python2k29131397

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k2924305

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.8k14767504

• openai/multi-agent-emergence-environments

  Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

  Language:Python1.7k18631313

• 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:Python1.5k14114287

• qqiang00/Reinforce

  Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

  Language:Jupyter Notebook8502911481

• cityflow-project/CityFlow

  A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

  Language:C++83618136179

• openai/multiagent-competition

  Code for the paper "Emergent Complexity via Multi-agent Competition"

  Language:Python8114713153

• PacktPublishing/Hands-On-Reinforcement-Learning-with-Python

  Hands-On Reinforcement Learning with Python, published by Packt

  Language:Jupyter Notebook804273337

• MorvanZhou/pytorch-A3C

  Simple A3C implementation with pytorch + multiprocessing

  Language:Python6321427146

• PacktPublishing/Getting-Started-with-TensorFlow

  Getting Started with TensorFlow, published by Packt

  Language:Python488542349

• cts198859/deeprl_signal_control

  multi-agent deep reinforcement learning for large-scale traffic signal control.

  Language:Python370123587

• illidanlab/Simulator

  Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

  Language:Python20681574

• multi-commander/Multi-Commander

  Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

  Language:Python12191031

• chuangyc/awesome-multiagent-learning

  A curated list of multiagent learning and related area resources.

  766012

• goshaQ/adaptive-tls

  Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

  Language:Python661215

• bdvllrs/marl-patrolling-agents

  Project on multi agent reinforcement learning applied on patrolling agents

  Language:Python393316

• sanketloke/dlmultiagentsoccer

  Deep Reinforcement Learning for Multi Agent Soccer

  Language:Python17315

• tinyzqh/Course-notes

  Here are some notes I took during my own deep learning, machine learning sessions

  2003