Pinned Repositories
4_Room_World_Environment
This repository provides a simulation of 4-Room-World environment.
AI-blog
Accompanying repository for Let's make a DQN / A3C series.
AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
cs231n.github.io
Public facing notes page
DDFG
This is the official code for our paper entitled "Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning".
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
tutorials
机器学习相关教程
Laojiang012's Repositories
Laojiang012/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Laojiang012/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Laojiang012/DDFG
This is the official code for our paper entitled "Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning".
Laojiang012/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Laojiang012/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Laojiang012/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
Laojiang012/DRL-AC-Allocation
Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
Laojiang012/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
Laojiang012/G2A2C
Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Laojiang012/GACG
Offical code for Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Laojiang012/GCS_aamas337
The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
Laojiang012/graph-meta-rl-for-amod
Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
Laojiang012/graph-rl-for-eamod
Official implementation of "Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning"
Laojiang012/Graph_CAVs
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.
Laojiang012/GTG
Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).
Laojiang012/introRL
Intro to Reinforcement Learning (强化学习纲要）
Laojiang012/ipss-common
InterPSS common for lib, 3rd-party lib
Laojiang012/lihang-code
《统计学习方法》的代码实现
Laojiang012/matmtdc
MATMTDC is a free open source Matlab based program for performing dynamic analysis of AC/DC hybrid power systems. It is inspired by MatPower, a power flow and optimal power flow program in MATLAB. MATMTDC is an easy-to-use and easy-to-modify simulation tool for researchers and educators. Care has been taken to keep it well structured and easy to un
Laojiang012/NA2Q
[ICML'23] Official PyTorch Implementation of NA2Q, and a comprehensive benchmark based on pymarl
Laojiang012/pymarl
Python Multi-Agent Reinforcement Learning framework
Laojiang012/pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Laojiang012/pymarl_transformers
Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)
Laojiang012/Reinforcement-learning-on-graphs-A-survey
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
Laojiang012/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
Laojiang012/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
Laojiang012/tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists
Laojiang012/tianshou
An elegant PyTorch deep reinforcement learning library.
Laojiang012/WZU-machine-learning-course
温州大学《机器学习》课程资料（代码、课件等）
Laojiang012/xrl
Study Explanation methods for Reinforcement Learning & Focusing on Graph ML Applications