University of Geneva
Efficient Reinforcement Learning: IRIS used reinforcement learning to master Atari games with little gameplay.
Both transformers and reinforcement learning models are notoriously data-hungry. They may be less so when they work together. Vincent Micheli and colleagues at the University of Geneva trained a transformer-based system to simulate Atari games using a small amount of gameplay.
