metadata
license: mit
language:
- en
tags:
- reinforcement learning
- games
Deep Q-Learning based Agent for Atari Breakout
The agent showcased in this space is trained using the Deep Q-Learning algorithm. The agent was trained for $3500$ episodes with a learning rate of $0.00001$ and an epsilon value that decreased linearly over time.