Загрузка страницы

MIT EI Seminar - Laura Schulz - Curiouser and curiouser: why we make problems for ourselves

MIT Embodied Intelligence Seminar - March 02, 2020

Laura Schulz is a Professor of Cognitive Science in the Department of Brain and Cognitive Sciences at MIT and the PI of Early Childhood Cognition Lab. She graduated from the University of Michigan with a degree in philosophy and from the University of California, Berkeley with a PhD in developmental psychology. She has worked on causal learning, exploration, play, and emotion, and her research focuses broadly on the question of how children learn so much from so little so quickly. Work in her lab is influenced by computational models of cognition and she is especially interested in bridging the gap between formal models of learning and children’s behavior. She has been honored with the American Psychological Association Distinguished Scientific Award for Early Career Contributions to Psychology, the Society for Research in Child Development Award for Early Career Contributions, the Troland Award from the National Academy of Sciences, and the Presidential Award Early Career Award for Scientists and Engineers.

Видео MIT EI Seminar - Laura Schulz - Curiouser and curiouser: why we make problems for ourselves канала MIT Embodied Intelligence
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
8 марта 2020 г. 0:11:13
00:54:32
Другие видео канала
EI Seminar - Graham Neubig - Learning to Explain and Explaining to LearnEI Seminar - Graham Neubig - Learning to Explain and Explaining to LearnEI Seminar - Martin Riedmiller - Learning Controllers - From Engineering to AGIEI Seminar - Martin Riedmiller - Learning Controllers - From Engineering to AGIEI Seminar Livestream - Max TegmarkEI Seminar Livestream - Max TegmarkEI Seminar  - Recent papers in Embodied IntelligenceEI Seminar - Recent papers in Embodied IntelligenceEI Seminar - Beomjoon Kim - Making Robots See and ManipulateEI Seminar - Beomjoon Kim - Making Robots See and ManipulateEI Seminar - Marco Pavone - Building Trust in AI for Autonomous VehiclesEI Seminar - Marco Pavone - Building Trust in AI for Autonomous VehiclesEI Seminar - Jacob Andreas - Good Old-fashioned LLMs (or, Autoformalizing the World)EI Seminar - Jacob Andreas - Good Old-fashioned LLMs (or, Autoformalizing the World)EI Seminar - Grey Yang - Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter TransferEI Seminar - Grey Yang - Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter TransferEI Seminar - Maurice Fallon - Multi-Sensor Robot Navigation and Subterranean ExplorationEI Seminar - Maurice Fallon - Multi-Sensor Robot Navigation and Subterranean ExplorationEI Seminar - Chad Jenkins - Semantic Robot Programming... and Maybe Making the Worlda Better PlaceEI Seminar - Chad Jenkins - Semantic Robot Programming... and Maybe Making the Worlda Better PlaceEI Seminar - Joydeep BiswasEI Seminar - Joydeep BiswasMIT EI Seminar - Lerrel Pinto - Diverse data and efficient algorithms for robot learningMIT EI Seminar - Lerrel Pinto - Diverse data and efficient algorithms for robot learningEI Seminar - Yuan Gong - Audio Large Language Models: From Sound Perception to UnderstandingEI Seminar - Yuan Gong - Audio Large Language Models: From Sound Perception to UnderstandingLawson Wong - High-Level Guidance for Generalizable Reinforcement LearningLawson Wong - High-Level Guidance for Generalizable Reinforcement LearningEI Seminar - Monroe Kennedy - Collaborative Robotics: From Dexterity to Teammate PredictionEI Seminar - Monroe Kennedy - Collaborative Robotics: From Dexterity to Teammate PredictionEI Seminar - Rob Fergus - Data Augmentation for Image-Based Reinforcement LearningEI Seminar - Rob Fergus - Data Augmentation for Image-Based Reinforcement LearningEI Seminar - Jacob Steinhardt - Large Language Models as StatisticiansEI Seminar - Jacob Steinhardt - Large Language Models as StatisticiansEI Seminar - Oriol Vinyals - The Deep Learning Toolbox: from AlphaFold to AlphaCodeEI Seminar - Oriol Vinyals - The Deep Learning Toolbox: from AlphaFold to AlphaCodeDaniel Wolpert - Computational principles underlying the learning of sensorimotor repertoiresDaniel Wolpert - Computational principles underlying the learning of sensorimotor repertoiresEI Seminar - Jeannette Bohg - Scaling Robot Learning for Long-Horizon Manipulation TasksEI Seminar - Jeannette Bohg - Scaling Robot Learning for Long-Horizon Manipulation Tasks
Яндекс.Метрика