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Add reinforcement training, like DQN to Carrot.
Requested by [Jared Codling](https://www.imhardtohire.com/)
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* ACO (heuristic-based swarm algorithms)
* ACO_LS (our approach)
* OR-Tools (serve as ground truth, but should be considered as base line)
* RL (L2D, Jsp-env etc) reinforcement learning based algor…
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how can I use reinforcement learning algorithms to train my model. After that, how can I evaluate my model, should I only focus on the "pour"task?
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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…
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Exploring the concept of autonomous machines, particularly within the context of directions (navigation, decision-making, etc.), involves several technical aspects that combine elements of artificial …
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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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I have been checking FinRL package. This is basically an open-source framework meant for trading of various financial instruments (stocks, crypto, portfolio allocation .. etc).
- https://github.com/A…
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I would like to express my gratitude for providing this remarkable platform. I am highly interested in How to deploy other reinforcement learning path planning algorithms and I'm eager to explore its…