h6678

MARL-Algorithms

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

MADDPG

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

spinningup

An educational resource to help anyone learn deep reinforcement learning.

pymarl2

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

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

Device-to-device

服务D2D、V2V仿真

smac

SMAC: The StarCraft Multi-Agent Challenge

pytorch-maddpg

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

PA_TWC

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pymarl

Python Multi-Agent Reinforcement Learning framework

GI-Model-Importer

Tools and instructions for importing custom models into a certain anime game

GrasscutterCommandGenerator

Command Generator and Gacha Banner Editor

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

google-research

Google Research

BMRC

ARM-Net

A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.

data_analytics_examples

MAGIC

MAGIC: Multi-scAle heteroGeneity analysIs and Clustering

Spectrum-Power-Allocation

Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks code

GI-Assets

Character textures, models and mods for a certain anime game.

TVT-data-code-channel-prediction-model

Deep-reinforcement-learning-with-pytorch

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

Power-Control-asilomar

Asilomar 2020 code for Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Power-Allocation-and-User-Device-Association-with-Deep-Reinforcement-Learning

RLcode