Hey, I'm Théo Jaunet

I'm a Ph.D. student at LIRIS lab, INSA-Lyon (France) since september 2018, where I'm advised by Romain Vuillemot and Christian wolf. My research is funded for 3 years by a French ministry Ph.D. fellowship and supported by the M2I project.

What if we Reduce the Memory of an Artificial Doom Player?

Theo Jaunet, Romain Vuillemot, Christian Wolf    

Abstract

We built a Doom player AI using Deep Reinforcement learning. While playing, it builds and updates an inner representation (memory) of what it sees from the game. This memory represents what the AI knows about the game, and is the root of each decision. Reducing the size of the memory , could help the player learning to complete its task and thus lower its training time and energy consumption footprint. In this scenario, the player has to gather items in a specific order: Green Armor Red Armor Health Pack Soul-sphere , with the shortest path possible.