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Poster/Paper Spotlights
Ezgi Korkmaz · Marianna Ganapini · Ruiqi He · Rylan Schaeffer · Kevin O'Neill
Mon Dec 13 10:15 AM -- 10:25 AM (PST) @
Author Information
Ezgi Korkmaz (KTH Royal Institute of Technology, Stockholm, Sweden)
Marianna Ganapini (Union College)
Ruiqi He (Max Planck Institute for Intelligent Systems, Tübingen, Germany)
Rylan Schaeffer (Stanford University)
Kevin O'Neill (Duke University)
More from the Same Authors
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2021 : Adversarial Training Blocks Generalization in Neural Policies »
Ezgi Korkmaz -
2021 : An Algorithmic Theory of Metacognition in Minds and Machines »
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2021 : Non-Robust Feature Mapping in Deep Reinforcement Learning »
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2021 : Have I done enough planning or should I plan more? »
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2021 : Thinking Fast and Slow in AI: The Role of Metacognition »
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2021 : Measuring and Modeling Confidence in Human Causal Judgment »
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2021 : Adversarial Training Blocks Generalization in Neural Policies »
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2021 : A Brief Summary on Covid-19 Pandemic & Machine Learning Approaches »
Ezgi Korkmaz -
2021 : A Brief Summary on Covid-19 Pandemic & Machine Learning Approaches »
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2022 : Revealing the Bias in Large Language Models via Reward Structured Questions »
Ezgi Korkmaz -
2022 : Revealing the Bias in Large Language Models via Reward Structured Questions »
Ezgi Korkmaz -
2021 : A Brief Summary on Covid-19 Pandemic & Machine Learning Approaches »
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2021 Workshop: Metacognition in the Age of AI: Challenges and Opportunities »
Ingmar Posner · Francesca Rossi · Lior Horesh · Steve Fleming · Oiwi Parker Jones · Rohan Paul · Biplav Srivastava · Andrea Loreggia · Marianna Ganapini