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I'm working on a q-learning project that involves a "robot" solving a maze, and there is a problem with how I update the Q values (every time the robot ends up switching between two squares instead of actually learning) but I'm not sure where: I am at my wits end. Any pointers are welcome, here i...
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Similarly to What should the AI.SE Site Description be? and after the discussions On-topic and off-topic pages need to be clarified and Who decides and writes the on-topic and off-topic pages?, I think it is time to vote for a clearer and updated version of the on-topic page, which users (but esp...
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I'm trying to have a go at building a neural net, but I can't seem to figure out how to optimise the connections.
I've tried to have a look online and it came up with "backpropagation". I looked through some pages about it, but I can't seem to understand it.
It seems to be where you decide on a...
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I've looked into policy gradient RL the last few months. As I find the topic quite interesting, I've been readings lots of papers about it. My aim is to write my master thesis in Maths about it. I already started out, the preliminary title being "Techniques for variance reduction in policy gradie...
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I'm working towards getting into a Computer Vision-based tech team in college. To get in, I have to impress my college seniors with an independent project. The team works on autonomous driving, so any ideas for a project related to this field would help a lot.
I've completed the Andrew Ng course...
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I am not clear with the concept that an unsupervised model learns. We are giving an input and output to the supervised model, so that it can generate a particular value, pattern or something out of it which can be used to categorize something in the future. By contrast, in unsupervised learning, ...
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