Zhaohan Guo

3 papers · 2017–2022 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (3)

Top co-authors

Florent Altché (2) Corentin Tallec (2) Rémi Munos (2) Michal Valko (2) Bilal Piot (2) Mohammad Gheshlaghi azar (2) Jean-Bastien Grill (2) Bernardo Avila Pires (2) Emma Brunskill (1) Florian Strub (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Reinforcement Learning (2) Learning Types · Deep Learning (2) Methods (2) Core AI (1) Learning Paradigms (1)

Keywords

self-supervised learning (2) image classification (1) contrastive learning (1) reinforcement learning (1) off-policy evaluation (1) transfer learning (1) temporal abstraction (1) curiosity-driven learning (1) world model (1) intrinsic reward (1) off-policy policy evaluation (1) option framework (1) curiosity-driven exploration (1) prediction loss (1) world representation (1) bootstrapped prediction (1) incremental importance sampling (1) representation learning (1) covariance testing (1)

Papers

BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017