Welcome! This is the codebase for assignments of our reinforcement learning (RL) course.
- Check the latest release at the time the tutor announced a new assignment is coming.
- Read the
README.md
at each assignment directory. - Clone or download this repo to get the code at your local computer.
- Fill the empty functions, slots and cells we left for you. You can search
TODO
in the files to find them. - Follow the instructions in code comments to check if everything work well.
- Follow the submission instructions in assignments to submit your work in BurinLearn. (If you are formally enrolled.)
Beautiful code and comment make extra credits. Our aesthetic standard is PEP 8.
You can find local environment setup instruction in assignment 0.
You can also choose to use Colab. The instruction on how to incorporate Colab into the assignment can be found in our Colab tutorial.