morpheus333 Goto Github PK

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs231n

cs231n assignments

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

fanqiang

翻墙-科学上网

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello-world

hello-world repository, my first repository.

kalmannet_tsp

code for KalmanNet

learning-based-power-control-for-mmwave-massive-mimo-against-jamming

论文中包含的论文原文以及原文所涉及的简化版代码。

maddpg

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

mapr2

marl-algorithms

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

mfrl

Mean Field Multi-Agent Reinforcement Learning

mircomessage

My first program about mybatis !

must-reading-on-isac

Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

python-100-days

Python - 100天从新手到大师

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

torchrl

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)