- 🔭 I’m currently working on a new project to develop a resilient packet routing approch utilizing multi-agent DRL.
- 🌱 I’m currently learning deep reinforcement learning and python programming to enhance my skills in networking science.
- 👯 I want to learn coding and try to make contribution to the community.
- 💬 Ask me about deep reinforcement learning modeling methods, including Deep Q-Network (DQN) and it's varient, Policy Gradient and it's varient, PPO and it's varient.
- 📫 How to reach me: [email protected]
- ⚡ Fun fact: Besides my dedication to scientific research and studies, I have a great passion for traveling. It's my way to unwind and broaden my horizons, exploring new cultures, landscapes, and cuisines around the world.
School: University of Electronic Science and Technology of China.
Major: National Key Laboratory of Wireless Communications.
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University of Electronic Science and Technology of China
- University of Electronic Science and Technology of China
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18:03
(UTC +08:00) - https://www.uestc.edu.cn/
Highlights
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PRISMA-learning
PRISMA-learning PublicForked from rapariciopardo/PRISMA
Packet Routing Simulator for Multi-Agent Reinforcement Learning
Jupyter Notebook
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Reinforcement-Learning-Approach-to-Packet-Routing-on-a-Dynamic-Network
Reinforcement-Learning-Approach-to-Packet-Routing-on-a-Dynamic-Network PublicForked from cnktran/Reinforcement-Learning-Approach-to-Packet-Routing-on-a-Dynamic-Network
Packet routing simulation on a dynamic network using Shortest Path Routing, Q-learning, and Deep Q-learning
Python
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Curt-Park/rainbow-is-all-you-need
Curt-Park/rainbow-is-all-you-need PublicRainbow is all you need! A step-by-step tutorial from DQN to Rainbow
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