21 citations · 77 across the 26 of their papers we have counts for
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cs.LG2019★ 2 cited
Compression and Localization in Reinforcement Learning for ATARI Games
Joel Ruben Antony Moniz, Barun Patra, Sarthak Garg
Deep neural networks have become commonplace in the domain of reinforcement learning, but are often expensive in terms of the number of parameters needed. While compressing deep ne…
cs.LG2017★ 4 cited
MMGAN: Manifold Matching Generative Adversarial Network
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz +5
It is well-known that GANs are difficult to train, and several different techniques have been proposed in order to stabilize their training. In this paper, we propose a novel train…