Homework 4
Submission date: March 13th, 2022
Topics
- Deep reinforcement learning based on policy gradients.
- Image generation with a Variational Autoencoder
- Generative adversarial networks
- Course summary questions on various topics.
Downloading
The assignment is available here (use the download button at the top).
Technical Notes
This assignment requires a different conda
environment, which should be
installed prior to starting. Before installing the new environment, it is
recommended to run
conda update conda
conda config --set channel_priority strict
And then install and activate the new environment as usual,
conda env update -f environment.yml
conda activate cs236781-hw4
FAQ
Make sure to read the getting started page, the guide for using course servers and our collaboration policy before starting the assignment.
Q: What is the _final
checkpoint file?
A: You must use this to create your final submission with result video from
your best-trained model. When you get results that your happy with, rename the
checkpoint file by appending _final
. You don’t need to submit the
checkpoints/
folder (the main.py
script will ignore them).
Q: Should the results/
directory be part of the submission?
A: Yes. The submission script will include it for you. This is OK. Do not
put any unnecessary files in this directory apart from the results files
generated by the notebooks.