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Salman Mohebi's Projects

proximity icon proximity

A Machine Learning Approach for Power Allocation in HetNets Considering QoS

qd-realization icon qd-realization

A quasi-deterministic (Q-D) channel implementation in MATLAB software

rec-sys-survey icon rec-sys-survey

Experiment codes for "Review of Attribute-Aware Collaborative Filtering Based Recommender Systems"

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1 icon reinforcement-learning-1

This repository contains the code to the corresponding blog post: Reinforcement learning – Part 1: Introduction to Q-learning.

rician-cell-free icon rician-cell-free

Simulation code for “Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts,” by Özgecan Özdogan, Emil Björnson, Jiayi Zhang, IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5299-5315, November 2019

scalable-cell-free icon scalable-cell-free

Simulation code for “Scalable Cell-Free Massive MIMO Systems,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Communications, to appear.

self-adaptation_via_rl icon self-adaptation_via_rl

Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks

snn4hrl icon snn4hrl

Stochastic Neural Networks for Hierarchical Reinforcement Learning

sp_cup_2021 icon sp_cup_2021

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorforce icon tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

uara icon uara

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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