447 citations · 803 across the 11 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.AI2017★ 163 cited
Visualizing and Understanding Atari Agents
Sam Greydanus, Anurag Koul, Jonathan Dodge +1
While deep reinforcement learning (deep RL) agents are effective at maximizing rewards, it is often unclear what strategies they use to do so. In this paper, we take a step toward…
cs.NE2017★ 23 cited
Learning the Enigma with Recurrent Neural Networks
Sam Greydanus
Recurrent neural networks (RNNs) represent the state of the art in translation, image captioning, and speech recognition. They are also capable of learning algorithmic tasks such a…