State of the Art Control of Atari Games Using Shallow Reinforcement Learning · HackerPapers discussions

State of the Art Control of Atari Games Using Shallow Reinforcement Learning — mentioned by clickok

Fri, 12 May 2017 06:36:45 GMT

I'm not sure what I'm supposed to be offended by; in any event I was not talking about color histograms, but instead using "some OpenCV filters to extract colors and textures" and testing a linear model first before reaching for the big guns. Sure, it's different from human-like perception, if that's really what the deep net is learning to do. But the burden of confirming that it's learning "concepts" instead of, say, dedicating a million parameters to implementing Sobel filters or wavelet transformations, or something even more trivial like "if all my pixels are one color, I am probably near…

Paper and discussion history. A mention is not an endorsement.

State of the Art Control of Atari Games Using Shallow Reinforcement Learning — mentioned by nrmn

Wed, 23 Dec 2015 19:44:54 GMT

I've been trying to read a paper a day since midsummer. These are a few of the interesting, for me personally, since then: Generating Sequences With Recurrent Neural Networks - http://arxiv.org/abs/1308.0850 Older one, but important to understand deeply since other recent ideas have come from this! Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks - http://arxiv.org/abs/1511.06434 Unitary Evolution Recurrent Neural Networks - http://arxiv.org/abs/1511.06464 State of the Art Control of Atari Games Using Shallow Reinforcement Learning…

Paper and discussion history. A mention is not an endorsement.

State of the Art Control of Atari Games Using Shallow Reinforcement Learning — HN submission

Tue, 08 Dec 2015 14:23:45 GMT

State of the Art Control of Atari Games Using Shallow Reinforcement Learning

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.