Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers

no code implementations • 1 Feb 2022 • Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup

Much of recent Deep Reinforcement Learning success is owed to the neural architecture's potential to learn and use effective internal representations of the world.

reinforcement-learning Reinforcement Learning (RL)