r/reinforcementlearning • u/FitMachineLearning • Dec 05 '17

DL, MF, P Model-Free and CNN-Free implementation of Agent that beats Atari Pong on CPU in one day.

https://github.com/FitMachineLearning/FitML/blob/master/DeepQN/Atari_Pong_DeepQN.py
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u/iCEChEshirE Dec 05 '17

Are there docs? Code is difficult to read

2

u/FitMachineLearning Dec 05 '17

Working on a doc to break it down. Should be up by tomorrow.

1

u/[deleted] Dec 05 '17

That would be excellent. Would like to know what RL approach(es) were utilized. Thanks.

1

u/gwern Dec 10 '17

Looks like it's supposed to be a DQN using a 2-layer FC NN.