Reinforcement-Learning Based Project

Project Overview:

This project is based on Reinforcement Learning.It involves an Agent which learns how to play MountainCar-v0 game(from Gym environment) using Deep-Q-Learning.The project is first implemented using hard-coded strategy and then RL based strategy is applied, in which the Agent learns the Q-function with the help of a Neural Network.

Project videos:

Agent behavior when hard-coded startegy is applied ->

Hard-Coded.Startegy.mp4

Agent behavior when RL based startegy is applied ->

https://youtu.be/F7IexHUwr18