Owing to their ability to both effectively integrate information over long time horizons and
scale to massive amounts of data, self-attention architectures have recently shown …

Modern deep reinforcement learning (RL) algorithms, despite being at the forefront of
artificial intelligence capabilities, typically require a prohibitive amount of training samples to …