Reinforcement Learning's project
Implementation of DQN and Double DQN for Atari Games.
Verify the advantage of the Double DQN algorithm over DQN (Deep Q Network) for two Atari games.
Only two games were chosen for training time reasons. These were Tennis and Space Invaders, since they demonstrated better results using Double DQN, as well as superiority with respect to human-level performance. The environments were taken from the open-source library gym, offered by OpenAI.
The code used is a customized version of the code shared on the Youtube channel brthor1.
In the following link, it is shown a run for Space Invaders with a trained model for DQN.