CS 294 Deep Reinforcement Learning, Fall 2015

This course will assume some familiarity with reinforcement learning, numerical optimization and machine learning. Students who are not familiar with the concepts below are encouraged to brush up using the references provided right below this list. We'll review this material in class, but it will be rather cursory. The assignments will be provided as Jupyter (formerly called IPython) notebooks (docs) and will use NumPy (docs) with Python 2.7. You may find the following tutorial helpful (from Stanford CS231): Python/Numpy.