University of Geneva

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Transformer-based system simulating simulate the Atari game "Pong"
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.

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