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[R] OgmaNeo plays Atari Pong

Hey all,

Here are some of our first successful results for running OgmaNeo on Atari Pong (from pixels).

While the model trained in the post was not trained on a Raspberry Pi, we have done tests to show that it does run on the Pi in real-time (60fps) with learning enabled. If enough people would like to know exactly how fast it runs on a Pi, we can perform another experiment where everything is run entirely on the Pi and report some exact performance results. For now though, we are working on releasing the demo code with documentation.

For those that don’t know, OgmaNeo is a library written in C++ with Python bindings that implements Sparse Predictive Hierarchies (SPH), a biologically-inspired and extremely fast memory prediction framework. We have long tried to implement reinforcement learning with this system, and I think we have finally found success!

submitted by /u/CireNeikual
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.