In my last post we dug a little deeper into machine learning by starting from scratch and training an agent on a vastly simplified version of mr nibbles. In this post we will explore what happens when we step it up a notch and attempt to train on a significantly more complex version of the game.Continue reading
In my last post on Machine Learning we followed Unity’s Getting Started tutorial and managed to get the “Balance Ball” example project up and running. In this post we are going to start something from scratch and see if we can dig a little deeper and learn some new things about Machine Learning.Continue reading
Lately I have spent a considerable amount of time thinking about where I want to go in my career and what sort of things do I want to work on going forward.Continue reading
Over the Christmas period Microsoft were running a promotion to developers; “Publish your apps to the Windows store before the 23rd of December and we will give you some Microsoft store credit”. Well as I had already spent a whole bunch of time learning how to publish natives desktop apps to the Windows Store during the development of Glancer I thought sure, why not capitalize on that.
EDIT: Check the comments for an excellent reply from Simon, creator of Entitias.
Last week I wrote a couple of blog posts about my work on Unity Ash:
This will be the last update for a while as I am heading up north WA for 3 weeks from tomorrow but before I went I wanted to get the game running on my iphone so I could test it while I was away. After a few accelerometer tweaks im glad to say that the game works just fine on Android and iOS:
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