CS_ALearn/deep-rl-class
1
0
Fork 0
mirror of https://github.com/huggingface/deep-rl-class.git synced 2026-04-14 18:31:36 +08:00
Code Issues Projects Releases Wiki Activity

Fix typo in glossary.mdx

Browse Source
This commit is contained in:
Katz, Ilia (ik216a)
2023-08-15 14:23:45 +03:00
parent 3760815834
commit bc9a54adcf
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
units/en/unit2/glossary.mdx
View File

@@ -34,7 +34,7 @@ This is a community-created glossary. Contributions are welcomed!
### Monte Carlo and Temporal Difference learning strategies
- **Monte Carlo (MC):** Learning at the end of the episode. With Monte Carlo, we wait until the episode ends and then we update the value functin (or policy function) from a complete episode.
- **Monte Carlo (MC):** Learning at the end of the episode. With Monte Carlo, we wait until the episode ends and then we update the value function (or policy function) from a complete episode.
- **Temporal Difference (TD):** Learning at each step. With Temporal Difference Learning, we update the value function (or policy function) at each step without requiring a complete episode.