Christopher Burgess

2 papers · 2017–2019 · 1 venue · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 📈 Trend Setter

Venues

ICML (2)

Top co-authors

Matthew Botvinick (2) Alexander Lerchner (2) Loic Matthey (2) Klaus Greff (1) Andrei Rusu (1) Arka Pal (1) Alexander Pritzel (1) Raphaël Lopez Kaufman (1) Rishabh Kabra (1) Daniel Zoran (1)

Research topics

Machine Learning (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Reinforcement Learning (1) Application Areas (1) Architectures (1) Learning Paradigms (1) Learning Types (1) Methods (1) Models (1)

Keywords

disentangled representation (2) reinforcement learning (1) variational inference (1) domain adaptation (1) scene understanding (1) object segmentation (1) zero-shot transfer (1) domain shift (1) disentangled representation learning (1) source policy (1) zero-shot domain adaptation (1) deep reinforcement learning (1) multi-object representation learning (1)

Papers

Multi-Object Representation Learning with Iterative Variational Inference ICML 2019 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017