Meta-Gradients in Reinforcement Learning

 Some person or entity named Wiki P Edia has the following thoughts on this whole 'meta' concept.  

Any subject can be said to have a metatheory, a theoretical consideration of its properties, such as its foundations, methods, form and utility, on a higher level of abstraction. In a rule-based system, a metarule is a rule governing the application of other rules, and "metaprogramming" is writing programs that manipulate programs. 

So extrapolate as you wish when thinking about meta-gradients or meta-learning in deep learning neural nets and in reinforcement learning systems (because they are somewhat different).



I like the concept that machines that learn should learn how to train themselves more efficiently.

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