google / google/learned_optimization

Understanding the differences compared to your earlier work & library

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Description

What is the situation when comparing this work to your earlier work of [opt_list](https://github.com/google-research/google-research/tree/master/opt_list)? Is that obsolete? What are the practical differences?

Also, any plans to add [AdaBound](https://arxiv.org/abs/1902.09843) and [Adam-HD](https://github.com/gbaydin/hypergradient-descent) to your benchmarks? Both have fairly high citations/year.

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