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First, familiarize yourself with the fundamentals that will be relevant to completing this project. The following resources should help you get started with reinforcement learning, deep learning, and …
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https://arxiv.org/pdf/1703.01988.pdf
Deep reinforcement learning methods attain super-human performance in a wide range of environments. Such methods are grossly inefficient, often taking orders of…
leo-p updated
7 years ago
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What optimization framework can this method be applied? What the difference with supervised learning, and Deep Reinforcement Learning?
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Try to use unsupevised ML to learn ZX diagram simplification.
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on deep reinforcement learning, deep agent based models, or related topics.
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Dear shkrwnd
I'm so sorry to bother you.I need your help,Dou you have the full code with this paper(Deep multi-user reinforcement learning for dynamic spectrum access in multichannel wireles…
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Prepare Chitchat data in ./grl_data/
Reading development and training data (limit: 0).
b_set length: 0
b_set length: 6
b_set length: 2
b_set length: 0
Creating st_model model with fresh para…
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# Mastering the Nepali Board Game of Bagh Chal with self-learning AI
Inspired by AlphaZero, this deep reinforcement learning AI agent uses a deep policy and value neural network along with Monte Carl…
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本周工作
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看李宏毅的deep learning和reinforcement learning
下周工作
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1.把剩余的李宏毅的reinforcement learning看完
2.开始做棋类游戏机器人算法的研究
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#### Learning Goals
Learn the concept of Reinforcement learning by solving the cartpole player problem with the use of OpenAI gym.
### Exercise Statement
This exercise helps in learning reinforc…