More talks in the program:
14:45 - 15:45
Did you ever want to defeat a computer game by only watching the screen? You can using a software agent!
However, the challenge is this: given only the image pixels of the computer screen, the agent needs to figure out how to optimally play the game.
In this talk I will lead you in-depth and step by step through the deep Q learning algorithm which uses neural networks to learn a Q policy which represents the optimal action given the current situation.
The talk will feature code samples in Python and put all the pieces together in a live demo showing an agent learning to master a game.