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deep-learning-power-allocation-in-massive-mimo

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

deep-reinforcement-learning-with-pytorch

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

ericwang.github.io

Zixin Wang's personal page

gnnforotafl

learn to allocate wireless resources with GNN in over-the-air FL system

hgnnformac

Hypergraph Neural Networks (AAAI 2019)

machinelearningnote

Note for personal reading, mainly in machine learning, reinforcement learning, sometimes signal processing

maximum-entropy-model

An implementation of MaxEnt, with Mini-batch Stochastic Gradient approach to get the optimized parameters.

minichatgpt

minichatgpt - To Train ChatGPT In 5 Minutes

protocol_learning_with_madrl

Using heterogeneous graph based MADRL to learn joint access and resource allocation policy

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

reinforcement-learning-an-intro

Reinforcement learning :An introduction (second edition)

smart-traffic

Building an intelligent traffic control system via deep reinfocement learning

starcraft

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

wirelessmetatransformer

Wireless Meta-Transformer for Unified Multimodal Learning

xiaowangya.github.io