Introduction to Deep Reinforcement Learning
In this talk, I will introduce the field of Reinforcement Learning (RL). Furthermore, I will discuss various approaches to solve the RL problem which includes policy gradient methods, value based learning and model based learning. I will describe how deep learning is effective in all these solutions to RL.
Mohammad Amini is a final year master student at McGill University / Mila where he works with Prof. Doina Precup. His research interests include deep learning, imitation learning, and model based reinforcement learning.