I didn&#x27;t mean it in a condescending way. I was stating that this is not algorithmically new, and is a reproduction of the paper.
From the README of the repository, it is not obvious that this is a reproduction. The information is fairly hidden, and the DQN paper is given as a reference. A casual glance might suggest that there is research innovation there.<p>Here are other reproductions just FYI:<p>Original Torch version from DeepMind: [github mirror] <a href="https:&#x2F;&#x2F;github.com&#x2F;kuz&#x2F;DeepMind-Atari-Deep-Q-Learner" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;kuz&#x2F;DeepMind-Atari-Deep-Q-Learner</a><p>Caffe: <a href="https:&#x2F;&#x2F;github.com&#x2F;muupan&#x2F;dqn-in-the-caffe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;muupan&#x2F;dqn-in-the-caffe</a><p>Theano: <a href="https:&#x2F;&#x2F;github.com&#x2F;spragunr&#x2F;deep_q_rl" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;spragunr&#x2F;deep_q_rl</a><p>Neon: <a href="https:&#x2F;&#x2F;github.com&#x2F;DoctorTeeth&#x2F;dqn" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;DoctorTeeth&#x2F;dqn</a>