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Description:
Develop a reinforcement learning model focused on training agents to play games using existing game datasets available on platforms like Kaggle. The project will demonstrate the applicat…
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Good thing I kept all my research work private, already deep q networks code stolen.
Feel free to contact me if needed in cloudsim scheduling and energy part, I have worked on reinforcement learnin…
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Dear Sir,
First of all, I should appreciate your team for creating RLtools.
Here are my questions:
1- Can I use RLtools for implementing Differentiable MPC policy for deep reinforcement learnin…
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Add reinforcement training, like DQN to Carrot.
Requested by [Jared Codling](https://www.imhardtohire.com/)
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### Idea Contribution
- [X] I have read all the resource request issues.
- [X] I'm interested in working on this issue
- [X] I'm part of GSSOC organization
### Where do you want to add the resource?…
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Are there ways of making tutorials for the following topics (in order of complexity):
- Classification tasks (rather than just regression) https://github.com/team-daniel/KAN
- Recommendation Algorit…
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Hey there, I'm curious about how to save and load models trained using Godot. I've been experimenting with reinforcement learning algorithms, and now I'm at a point where I want to persist my trained …
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Dear author, thank you for providing such a lightweight reinforcement learning library. Currently, I am hoping to integrate your attention mechanism into other reinforcement learning algorithms. I enc…
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Post your questions here about: “Reinforcement Learning” and “Deep Reinforcement Learning”, Thinking with Deep Learning, Chapters 15 & 16
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Hello,
I would like to know what you think about having some standalone implementations as functions that take in the environment and other parameters and return the trained policy.
Here an examp…