CS_ALearn/deep-rl-class
1
0
Fork 0
mirror of https://github.com/huggingface/deep-rl-class.git synced 2026-02-03 02:14:53 +08:00
Code Issues Projects Releases Wiki Activity

Update variance-problem.mdx

Browse Source 
Hi, I've a blog titled [High Variance in Policy gradients](https://balajiai.github.io/high_variance_in_policy_gradients) which also explains about the variance problem in policy gradient and techniques for variance reduction such as baseline and actor-critics method.
I think, it would be valuable to this course readers. So I'm adding it to the reading-list.

Thanks!
This commit is contained in:
Balaji Varatharajan
2024-02-17 15:16:29 +05:30
committed by GitHub
parent 6ab84a4e8e
commit 87fcfeb9bb
1 changed files with 1 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
units/en/unit6/variance-problem.mdx
View File

@@ -27,4 +27,5 @@ However, increasing the batch size significantly **reduces sample efficiency**.
If you want to dive deeper into the question of variance and bias tradeoff in Deep Reinforcement Learning, you can check out these two articles:
- [Making Sense of the Bias / Variance Trade-off in (Deep) Reinforcement Learning](https://blog.mlreview.com/making-sense-of-the-bias-variance-trade-off-in-deep-reinforcement-learning-79cf1e83d565)
- [Bias-variance Tradeoff in Reinforcement Learning](https://www.endtoend.ai/blog/bias-variance-tradeoff-in-reinforcement-learning/)
- [High Variance in Policy gradients](https://balajiai.github.io/high_variance_in_policy_gradients)
---