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@brrrachel and @2start (Nico)
Many approximation algorithms converge better when the data is normalized (zero to one) and scaled (mean==0) . Could you please investigate if this is a possible issue…
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### Cautions:
**Before starting the task, please refer to [Add data of ML-YouTube-Courses](https://github.com/orgs/ocademy-ai/projects/3/views/1?filterQuery=label%3Adata&pane=issue&itemId=36101499)…
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Link: [arxiv](https://arxiv.org/pdf/1907.02057.pdf)
Problem:
> Model-based reinforcement learning (MBRL) is widely seen as having the potentialto be significantly more sample efficient than model-…
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Please share your feedback on this group discussion by replying in this thread. Your contributions are important as we aim to identify gaps in knowledge, pinpoint collaborators who can help us bridge …
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I find the project really interesting and would like to say thank you for making it public! I would like to run it without a simulation, namely on the dataset collected from the simulation. I would li…
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I just found Griddly and I'm psyched. This'll be very helpful for me, and I still need to understand how it works.
One thing I was disappointed with is that the game visualization doesn't animate t…
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Hi,Thanks for your great job! I have finisher all the work that are mentioned in readme . How to use the RL algorithms you mentioned in the paper ? Looking forward to your reply.
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## Hypothesis
Authors of recently published research Alpha Zero stated that this technique could be easily generalised to other problems without significant human effort and it approached better th…
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# Reference
- [paper - 2017 - Learning Transferable Architectures for Scalable Image Recognition](https://arxiv.org/abs/1707.07012)
- [paper - 2017 - Progressive Neural Architecture Search](https:…
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Creating an AGI (Artificial General Intelligence) is an ambitious and complex task that goes beyond a simple block of code. AGI refers to machines or systems that can perform any intellectual task tha…