Reinforcement Learning Algorithms
Spinning Up is a great resource by Open AI for Deep Reinforcement Learning. One of the suggestions they have is to code some of the core algorithms from scratch.
Spinning Up is available here: https://spinningup.openai.com/en/latest/index.html
This blog post “A (Long) Peek into Reinforcement Learning” is another useful resource that explains many of the algorithms here: https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html#q-learning-off-policy-td-control
Since many resources already exist, I plan to mostly just use this as a place to link to the code that I’ve written, but will also mention any useful points that I come across.
Possibly more efficient to represent policy e.g. value hard to calculate, but know if ball going here then go there don’t need max (pushes majorly in that direction)