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```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …
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Add reinforcement training, like DQN to Carrot.
Requested by [Jared Codling](https://www.imhardtohire.com/)
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Greetings,
I hope this request aligns with the interests of fellow contributors. I regularly use APSIM to simulate crop production for "what-if" scenarios, and I’m exploring the possibility of inte…
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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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* 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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Our current baseline RL algorithm is DQN (more accurately it is DDQN). Named algorithm uses epsilon-greedy policies to at least have a chance of fully investigating environment in question. Using epsi…
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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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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…