This is a simple example of a type of reinforcement learning called Q learning.
We are building simple game and using Q-learning algorithm we built the bot which can able to will this simple game
● Rules: The agent (yellow box) has to reach one of the goals to end the game
(green or red cell).
● Rewards: Each step gives a negative reward of -0.04.
The red cell gives a negative reward of -1.
The green one gives a positive reward of +1.
● States: Each cell is a state the agent can be.
● Actions: There are only 4 actions. Up, Down, Right, Left.
- Python 2.7
- tkinter
- To install tkinter You need to execute this command:
$ sudo apt-get install python-tk
Run python Learner.py in terminal to see the the bot in action. It'll find the optimal strategy pretty fast (like in 15 seconds)
The credits for this code go to PhillipeMorere and joongwha. I've merely created a wrapper to get people started.