This is a Too Long; Didn't Read summary of the paper Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning. Inspired by the blog post on the same paper published by the Berkeley Artifical Intelligence Research (BAIR) Lab last week.
Three ways to do functional programming when working with the Play Framework.
My blog previously used Octopress, and I had wanted to stop using it for a while. There is nothing wrong with Octopress; it just didn't fit well with me. It has a lot of features, so seems overcomplicated for my use-case. It's also written in Ruby.
I've spent the last year using AWS DynamoDB at work. When we initially searched for a Scala client for DynamoDB, we had the following criteria:
Sadly, none of the Scala libraries available at that time matched all three criteria. The most up-to-date libraries were not suitable for a team starting out with Scala and DynamoDB. The most beginner-friendly libraries were out-of-date, and most only had superficial documentation.
I recently started playing with Haskell's Warp in my effort to learn Haskell. Warp is small and fast web server, and doesn't come bundled with much. It also has no "magic" in it, which I think is a very good thing.
This blog post differs from my usual ones; I'm writing it as I learn something. As such, it is more of a story that contains errors and misunderstanding than a factual blog post.
I write software for a living, and most of my side projects are software based too. I view side projects as a tool for learning. Learning by doing.
Elm is a functional programming language aimed at the browser. It aims to replace all HTML, CSS, and JavaScript code. It borrows a lot from Haskell, and promises that if your Elm code compiles, it will run without exceptions.
Using custom types in Play Frameworkâs routes file is a major win, and is not something obviously supported.
Cassandra Time-To-Live (TTL) is decribed in the Datastax documentation. This blog post briefly explores it to demonstrate that TTL is set per column, and not per row.