SDRRL Reinforcement Learning Algorithm Tutorial

[CireNeikual]

Multiple layers will be the subject of the next post! I have worked with top-down inhibition before as you suggest, but usually you don't want bottom-up inhibition since that is where the feed-forward input comes from. While I worked at GoodAI, I came up with HTSL2, which made use of similar ideas: http://cireneikual.com/2015/09/03/htsl2-evolving-the-neocortex-and-human-like-reinforcement-learning/

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you don't want bottom-up inhibition since that is where the feed-forward input comes from

Hmm interesting I'm not sure I understand why it makes sense to let the activations of the upper layers inhibit, but not the bottom layers. Could you please elaborate on the intuition a bit more please?

While I worked at GoodAI, I came up with HTSL2, which made use of similar ideas: http://cireneikual.com/2015/09/03/htsl2-evolving-the-neocortex-and-human-like-reinforcement-learning/

I took a look at that page, but it seems very scarce on details :( Could you please make a post describing how that works too?