Luisa Zintgraf

5 papers · 2018–2021 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (2) ICCV (1) ICLR (1) JMLR (1)

Top co-authors

Shimon Whiteson (4) Katja Hofmann (4) Maximilian Igl (3) Sebastian Schulze (2) Kyriacos Shiarlis (2) Yarin Gal (2) Edward Cutrell (1) Cong Lu (1) Cecily Morrison (1) Tuan Anh Le (1)

Research topics

Artificial Intelligence (4) Reinforcement Learning (3) Learning Paradigms (3) Methods (3) Machine Learning (2) Computer Vision (1) Analysis (1) Bayesian & Probabilistic (1) Core AI (1) Learning Types (1) Optimization & Theory (1)

Keywords

task uncertainty (2) few-shot learning (2) variational inference (2) approximate inference (1) bayesian inference (1) object recognition (1) exploration-exploitation tradeoff (1) partially observable markov decision process (1) bayes-optimal policy (1) generative model (1) task adaptation (1) evidence lower bound (1) context parameter (1) teachable ai (1) real-world dataset (1) latent state representation (1) meta learning (1) variational reinforcement learning (1) model-agnostic meta-learning (1) reinforcement learning (1)

Papers

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 Fast Context Adaptation via Meta-Learning ICML 2019 Deep Variational Reinforcement Learning for POMDPs ICML 2018