Compare and Contrast SARSA. Q_Learning and Monte-Carlo (every visit) algorithms on Taxi Environment to learn about their efficiency and their time to converge.
Requirements: VSCode OpenAI Gym
-
Notifications
You must be signed in to change notification settings - Fork 0
lj06872/Taxi_Environment-RL
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Compare and Contrast SARSA. Q_Learning and Monte-Carlo (every visit) algorithms on Taxi Environment to learn about their efficiency and their time to converge
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published