ARM-CoMAL's repositories
QDPP
Multi-Agent Determinantal Q-Learning
pymarl
Python Multi-Agent Reinforcement Learning framework
CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Meet-Deadline-Requirements-Challenge
ACM MULTIMEDIA 2021 Grand Challenge
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
metis
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
LICA
[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"
SQDDPG
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
ApproPO
Reinforcement Learning with Convex Constraints
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
deeprl_network
multi-agent deep reinforcement learning for networked system control.
cluster-data
Borg cluster traces from Google
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
mfrl
Mean Field Multi-Agent Reinforcement Learning
gcn
Implementation of Graph Convolutional Networks in TensorFlow
clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
IC3Net
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
cpo
Constrained Policy Optimization