Deep Reinforcement Learning Study Group
This repository is a clone of the Spring 2017 deep reinforcement learning class at Berkeley. We've cloned it for the purpose of having a collaborative study group watching the lectures and working on the problem sets.
Resources.
Lecture Material
-
Google's deep learning Udacity course seems like a good introduction.
-
Professor Bertsekas's Dynamic Programming lectures seem like a good supplement to these lectures.
Papers
- Yann Lecun's paper discusses tricks for normalization and initialization.
Software
Tensorflow
-
Tensorboard seems like a good way to instrument training algorithms.
-
TF Slim might save time.
Other
- Pudb seems like a useful debug tool.