A Reinforcement Learning algorithm (Q-learning) is used to create a game agent which interacts and learns to play the game on its own.
Implements a basic DQN and trains cartpole agent.
The environment is created using the Gym library.
-
Notifications
You must be signed in to change notification settings - Fork 0
aneesh297/Game-Agent
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
A Reinforcement Learning algorithm (Q-learning) is used to create a game agent which interacts and learns to play the game on its own.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published