Reinforcement Learning Concepts and The Q-Learning Algorithm
To understand Q-learning quickly and mathematically
Latest articles
Log: Installation of ns-3 on macOS (+ Python integration)
OS: MacOS Monterey 12.3.1, ns version: 3.36 First things first, make sure to update your OS, Xcode and Xcode tools before you proceed with the installation. Reasons (comes from my experience..): There are many compatibility issues concerning MacOS, ...
Literature Review #4
2021/ Decentralized multi-agent reinforcement learning with networked agents: recent advances Link to the paper My Takeaway: The RL structure studied in this paper is exactly what I am looking for. This paper concludes pure theoretical research and r...
Learning Review #1
OpenAI Spinning Up Very helpful for understanding the whole Reinforcement Learning structure. Especially for me because I've already tried my first implementation of a common solution in RL, Q-Learning algorithm with ε-greedy policy. This documentati...
Literature Review #3
Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design My Takeaway: This is a multiple-UAV network, and the setting is right for me (emergency network), there is however no multiple-agent scenario. All agents work independent...
Journal - Biweekly Meeting #week 9-10 07.-20. Mar 2022
Problem Encountered: I dwelled in building the simulation, didn't realize that I need to read more in order to identified a concrete problem. I can't draw solutions from an obscure problem. Things Been doing: Read papers extensively in three areas: ...