We are trying to implement a reinforcement learning based algorithm from the principles explained in the DeepMind papers on AlphaZero. This approach to learning gameplay has been shown to be extremely successful in games like Chess, Go and Shogi and can be inferred to work equally well in other perfect information turn based games with two players.
-
Notifications
You must be signed in to change notification settings - Fork 0
Reinforcement learning based game playing algorithm
License
shashankms-dev/alpha-zero
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Reinforcement learning based game playing algorithm
Resources
License
Stars
Watchers
Forks
Releases
No releases published