-
Post your question here about the orienting readings: “Reinforcement Learning” and “Deep Reinforcement Learning”, Thinking with Deep Learning, Chapters 15 & 16.
lkcao updated
2 years ago
-
## Prequest
![image](https://user-images.githubusercontent.com/1320252/123796714-fdc5b580-d917-11eb-9371-3e852a8a8051.png)
- https://deepmind.com/learning-resources/-introduction-reinforcement-l…
-
Hi, I do not fully understand why you are not using the LangChain primities as there are plenty of tools already available. Is there an intent to migrate? Also, where is the roadmap ? thanks
-
Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.
# Unsup…
-
**Is your feature request related to a problem? Please describe.**
First off, I would like to thank you for building and maintaining an amazing project! One feature, I would be interested in adding/c…
-
Great work. It is easy to integrate new algorithms and the graphical output is awesome.
I have only 4 minor issues:
1) https://numba.pydata.org/ is easy to use and can speed up GA up to factor…
-
## 🚀 Feature
`torch.cumsum` current performs a cumulative sum over a given axis without resetting the cumulative sum (i.e. the final term is the sum of all terms in the initial vector). Proposing add…
-
Post a link for a "possibility" reading of your own on the topic of Reinforcement Learning [for week 8], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we d…
lkcao updated
2 years ago
-
如果你知道一些相关的开源论文,但不在此列表中,非常欢迎添加在此issue当中,感谢为开源社区贡献一份力量
-
**Submitting author:** @costashatz (Konstantinos Chatzilygeroudis)
**Repository:** https://github.com/NOSALRO/robot_dart
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Edit…