vaibhawvipul / tildy-mdp

Reinforcement Learning Fun Game

tildy-mdp

This is a fun project, inspired by talk of richard sutton - Tutorial: Introduction to Reinforcement Learning with Function Approximation

Play with this repo

python3 learn_mdp.py

About the project

Here the user is a reinforcement learning agent and he tries to find the optimal policy to gain maximum rewards. The environment has two states A and B. User can take 2 actions - 1,2 . Based on user's action in a state he gets positive or negative reward/feedback.

If you decide to play this game then following is the optimal policy

State	Action
A	2
B	1

This repository can be used for educational purposes. This repo can be used to explain the following concepts of Reinforcement Learning -

• MDP
• Exploration vs Exploitation Dilemma
• Introduction to RL.

Feel free to improve this project. Pull Requests are welcome.