maile2108

maile2108

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FedUnfolding

Federated Unfolding Learning for CSI Feedback in Distributed Edge Networks

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Basics-of-Spectral-Graph-Theory

Website of IEEE Finland Jt. Chapter SP/CAS

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LyDROO

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

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FEDL-INFOCOM

Federated Learning over Wireless Networks

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Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

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DDPG

Implimenting DDPG Algorithm in Tensorflow-2.0

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keras-io

Keras documentation, hosted live at keras.io

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CRNOMA_DDPG

A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems

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BAC-COM-for-6G-umMTC

On the Application of BAC-NOMA to 6G umMTC

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DDPG-With-EnvBSS

Resource Constrained Deep Reinforcement Learning With Gym-BSS Environment

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Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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Deep-Learning-for-Non-Orthogonal-Multiple-Access

Deep Learning Implementation of Non Orthogonal Multiple Access (NOMA)

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DROO

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

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DeepLearning_MIMO-NOMA

Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.

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DRL-wireless-networks

Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events

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ProximalPolicyOptimizationKeras

This is a deterministic Tensorflow 2.0 (keras) implementation of a Open Ai's proximal policy optimization actor critic algorithm PPO.

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RL-PPO-Keras

Proximal Policy Optimization(PPO) with Keras Implementation

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Spectrum-Power-Allocation

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

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Power-Control-asilomar

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

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NOMA_with_reinformcement

Optimizing resource allocation with deep reinforcement learning

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RL-for-binary-computation-offloading-in-wireless-powered-MEC-networks

It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks", on https://ieeexplore.ieee.org/document/8771176

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Deep-Q-Learning-based-Downlink-Power-Allocation

A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.

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DynamicMultiChannelRL

Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"

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stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

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Actor-Critic-Based-Resource-Allocation-for-Multimodal-Optical-Networks

Source code of 2018 GLOBECOM paper named "Actor-Critic-Based Resource Allocation for Multimodal Optical Networks"

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terraform-nomad-consul-traefik

Learning create infra with Packer, Terraform, Nomad, Consul and Traefik

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