In this repo I am solving homeworks for deep reinforecement learning class. Berkeley generously offer the learning materials for this course for free. I highly recommend it.
Here you can find my solutions and write-ups for the homeworks:
- Homework 1 - Behavioral cloning with DNN
- Homework 2 - Markov Decision Processes
- Homework 3 - Deep Q Learning
- Homework 4 - Vanilla policy gradients, but you'll be better off checking out awesome Daniel Seita's repo
- step up the write up game
- make explainations of what needs to be done in each homework