Kien Vu's repositories
Mobility-Assisted-on-Demand-Routing-Algorithm-for-MANETs-in-the-Presence-of-Location-Errors
Trung Kien Vu and Sungoh Kwon, “Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors,” The Scientific World Journal, vol. 2014, Article ID 790103, 11 pages, 2014. doi:10.1155/2014/790103
How-to-change-the-make-file-in-NS2
There are some documents related to NS2, which helps you understand and implement the routing protocols in NS2.
ln-game-theory
Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.
massive-MIMO-small-cells
Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.
is-massive-MIMO-the-answer
Simulation code for “Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?” by Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 6, pp. 3059-3075, June 2015.
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
distributional_perspective_on_RL
Implementation of A Distributional Perspective on Reinforcement Learning
ecos
A lightweight conic solver for second-order cone programming.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
mf_cvxpy
A Python-embedded modeling language for convex optimization problems.
reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
RMT4ELM
A Random Matrix Approach to Extreme Learning Machine