Agreed! A lot of material out there is like the "how to draw and owl" meme: https://imgur.com/gallery/RadSf - start with bandits and now do DDPG.
The goal is for this course to provide the foundations for whatever folks want to do in RL after. It starts with bandits but then covers things like TD, Sarsa, Dyna, etc. in the tabular setting. Then folks learn about more advanced topics like linear and non-linear function approximation (read - linear e.g. Tile Coding, non-linear e.g. neural nets/deep rl).
This very much follows the intro RL course taught by Martha/Adam/Rich at the U of A, and follows Rich's textbook really closely.
A number of us from the lab have been helping to put this course together. It's lead by Martha White and Adam White - two awesome RL profs at the U of A (Martha now leads RLAI) - and is based very heavily on Rich's textbook. The goal is to provide a really strong foundation for those looking to dive deeper into reinforcement learning. It starts with bandits and works all the way up through function approximation, control, policy gradients, and deep RL.
If you have any questions feel free to ask and I'll do my best to answer.
Reinforcement learning has been used in a lot of valuable applications to society/the economy outside of games: control system optimization, robotics, ad targeting, content personalization to name a few. Game playing can often be a great test-bed for RL algorithms that can be applied in other areas.
I found that Real Python's blog and ebooks were a good way to look at a few different frameworks (especially Flask and Django). There are a few cases where I wish they had explained things further in the web books rather than just show the code, but overall they should be a good next step after LPTHW.
http://www.realpython.com/
What is the name of your Uncle's company? Tell him to fire me an email, I'd be happy to do what I can to help him find someone. There are quite a few good devs in Edmonton and specific to gaming BioWare attracts a large number of talented people to town, and leaks out some very good people at times depending on their development cycle.
[email protected]
I love being able to assign hot keys to apps in Alfred. I have 4-5 apps that I use 99% of the time and now I have hot keys to easily bring them up and jump between them.
The goal is for this course to provide the foundations for whatever folks want to do in RL after. It starts with bandits but then covers things like TD, Sarsa, Dyna, etc. in the tabular setting. Then folks learn about more advanced topics like linear and non-linear function approximation (read - linear e.g. Tile Coding, non-linear e.g. neural nets/deep rl).
This very much follows the intro RL course taught by Martha/Adam/Rich at the U of A, and follows Rich's textbook really closely.