3.4k citations · 3.5k across the 3 of their papers we have counts for
4 papers
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché +11
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-supervised image representation learning. BYOL relies on two neural networks, referred to as online and target…
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Daniel Guo, Bernardo Avila Pires, Bilal Piot +4
Learning a good representation is an essential component for deep reinforcement learning (RL). Representation learning is especially important in multitask and partially observable…
World Discovery Models
Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo Avila Pires +3
As humans we are driven by a strong desire for seeking novelty in our world. Also upon observing a novel pattern we are capable of refining our understanding of the world based on…
Neural Predictive Belief Representations
Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot +2
Unsupervised representation learning has succeeded with excellent results in many applications. It is an especially powerful tool to learn a good representation of environments wit…