@Hobgoblin
Master Student
Nothing here yet.
Nothing here yet.
Aug 2, 2022 · 5 min read · Reinforcement Learning Concepts Reinforcement learning is a branch of machine learning where the learning of an agent occurs via interacting with an environment. There are several fundamental concepts regarding RL, for instance agent, environment, st...
Join discussionMay 2, 2022 · 3 min read · 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, ...
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Apr 15, 2022 · 3 min read · 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...
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Apr 5, 2022 · 1 min read · 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...
Join discussionApr 2, 2022 · 2 min read · 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...
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