Alexander Irpan

3 papers · 2017–2020 · 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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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (3)

Top co-authors

Chris Harris (1) Konstantinos Bousmalis (1) Sergey Levine (1) Julian Ibarz (1) Kanishka Rao (1) Janarthanan Rajendran (1) Danijar Hafner (1) Nicolas Heess (1) Eric Jang (1) James Davidson (1)

Research topics

Artificial Intelligence (1) Deep Learning (1) Machine Learning (1) Reinforcement Learning (1) Robotics (1) Applications (1) Architectures (1) Core Methods (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

information theory (1) neural network architecture (1) deep reinforcement learning (1) reinforcement learning (1) feature learning (1) off-policy evaluation (1) data augmentation (1) importance sampling (1) hierarchical processing (1) continuous action space (1) recurrent neural network (1) information flow (1) value-based method (1) neural module (1) hierarchical routing (1) positive-unlabeled classification (1) information routing (1) recurrent neural module (1)

Papers

Meta-Learning Requires Meta-Augmentation NeurIPS 2020 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 Learning Hierarchical Information Flow with Recurrent Neural Modules NeurIPS 2017