Abstract:
In the previous talk, we looked at Reinforcement Learning in general, and discussed Q-learning. This time we will look at DQN in some depth, which combines deep learning with Q-learning. We will look at the base algorithm and some implementation issues. We will look at some important variants of DQN.
Speaker Bio:
Robin Chauhan has a longstanding interest in AI and machine learning theory and practice. He has applied AI to venture capital, fintech fraud, transportation, and environmental engineering. He holds a BASc in Computer Engineering from University of Waterloo.
Agenda:
17:45 - Doors Open & Mingle
18:00 - Introductions
18:15 - Talk
19:25 - Questions & Discussion
19:45 - Close