Eszter Vértes

5 papers · 2018–2023 · 3 venues · 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

Venues

ICML (2) NeurIPS (2) ICLR (1)

Top co-authors

Yazhe Li (2) Jacob C Walker (2) Theophane Weber (2) Maneesh Sahani (2) Jessica B Hamrick (2) Ankesh Anand (2) Diana Borsa (1) Gregory Farquhar (1) Abram Friesen (1) Julian Schrittwieser (1)

Research topics

Machine Learning (4) Learning Types (4) Artificial Intelligence (3) Reinforcement Learning (3) Applications (2) Core AI (2) Methods (2) Deep Learning (1) Interdisciplinary (1) Application Areas (1) Learning Paradigms (1) Models (1) Science (1)

Keywords

model-based reinforcement learning (2) reinforcement learning (2) epistemic uncertainty (1) model-based learning (1) uncertainty representation (1) value function (1) wake-sleep algorithm (1) value estimation (1) generative model (1) partially observable environment (1) latent variable (1) variational autoencoder (1) world model (1) dynamics model (1) successor representation (1) intrinsic exploration (1) self-supervised representation learning (1) implicit ensemble (1) environment model (1) recognition model (1)

Papers

Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Procedural generalization by planning with self-supervised world models ICLR 2022 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019 Flexible and accurate inference and learning for deep generative models NeurIPS 2018