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arm-comal's Projects

appropo

Reinforcement Learning with Convex Constraints

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

cyberbattlesim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeprl_network

multi-agent deep reinforcement learning for networked system control.

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

lica

[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

meet-deadline-requirements-challenge

ACM MULTIMEDIA 2021 Grand Challenge

metis

Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)

mfrl

Mean Field Multi-Agent Reinforcement Learning

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

pygat

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

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

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)

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''.

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