/Atari_game_reinforcement_learning

Implementation of Atari game using reinforcement learning

Primary LanguageJupyter Notebook

Atari_game_reinforcement_learning

This project builds a reinforcement learning agent to navigate the classic 4x4 grid world environment. The agent was made to learn an optimal policy through Q-Learning which allowed it to take actions to reach a goal while avoiding obstacles. The environment and the agent were built to be compatible with OpenAI Gym environments.