natashajaques.ai

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Natasha Jaques

 Généré le 28 Février 2026 20:09

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Titre

Natasha Jaques

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Propriété Contenu
site_name Natasha Jaques
url https://natashamjaques.github.io/
title Natasha Jaques
image https://natashamjaques.github.io/media/icon_hua64261c49917fe48d46061d344453b21_144873_512x512_fill_lanczos_center_3.png
locale en-us
updated_time 2022-12-31T00:00:00+00:00

Niveaux de titre

H1 H2 H3 H4 H5 H6
8 1 4 0 1 0
  • [H1] Search
  • [H1] Selected Awards
  • [H1] Selected Press
  • [H1] Featured Publications
  • [H1] Publications
  • [H1] Popular Topics
  • [H1] Featured Talks
  • [H1] Research Communities
  • [H2] Natasha Jaques
  • [H3] Assistant Professor, University of Washington
  • [H3] Senior Research Scientist, Google DeepMind
  • [H3] Senior Research Scientist
  • [H3] Google DeepMind
  • [H5] Cite

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Nous avons trouvé un total de 249 lien(s) dont 37 lien(s) vers des fichiers

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Natasha Jaques Interne Passing Juice
learning Interne Passing Juice
generalization Interne Passing Juice
coordination Interne Passing Juice
human-AI interaction Interne Passing Juice
Social RL Lab Externe Passing Juice
contact page Externe Passing Juice
PhD at MIT Interne Passing Juice
fine-tuning language models with RL Interne Passing Juice
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Visiting Postdoctoral Scholar at UC Berkeley Externe Passing Juice
Affective Computing Interne Passing Juice
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reinforcement Interne Passing Juice
Download my CV Interne Passing Juice
Multi-Agent Learning and Coordination Interne Passing Juice
Human-AI Interaction Interne Passing Juice
Machine Learning Interne Passing Juice
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Association for the Advancement of Affective Computing Externe Passing Juice
Best of Collection Externe Passing Juice
impact factor: 10.5 Externe Passing Juice
C3.ai Digital Transformation Institute AI for Energy and Climate Security Awards Externe Passing Juice
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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Interne Passing Juice
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Human-Centric Dialog Training via Offline Reinforcement Learning Interne Passing Juice
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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Interne Passing Juice
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Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health Interne Passing Juice
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searching publications Interne Passing Juice
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Concept-based Understanding of Emergent Multi-Agent Behavior Interne Passing Juice
Moral Foundations of Large Language Models Interne Passing Juice
In the ZONE: Measuring difficulty and progression in curriculum generation Interne Passing Juice
Multi-Agent Reinforcement Learning for Hardware Architecture Search: A Case Study on Domain-Specific DRAM Memory Controller Design Interne Passing Juice
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Interne Passing Juice
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Less is More: Generating Grounded Navigation Instructions from Landmarks Interne Passing Juice
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Wearables: an R package with accompanying Shiny application for signal analysis of a wearable device targeted at clinicians and researchers Interne Passing Juice
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Environment Generation for Zero-Shot Compositional Reinforcement Learning Interne Passing Juice
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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Interne Passing Juice
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Emergent Social Learning via Multi-agent Reinforcement Learning Interne Passing Juice
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Explore and Control with Adversarial Surprise Interne Passing Juice
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Joint Attention for Multi-Agent Coordination and Social Learning Interne Passing Juice
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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems Interne Passing Juice
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Automatic Triage and Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation Interne Passing Juice
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Hierarchical Reinforcement Learning for Open-Domain Dialog Interne Passing Juice
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Social and Affective Machine Learning Interne Passing Juice
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Tackling Climate Change with Machine Learning Interne Passing Juice
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CCAI Organization Externe Passing Juice
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ACM Computing Surveys Externe Passing Juice
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback Interne Passing Juice
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Vomit Comet Physiology: Autonomic Changes in Novice Flyers Interne Passing Juice
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Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students Interne Passing Juice
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Multimodal Autoencoder: A Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction Interne Passing Juice
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Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation Interne Passing Juice
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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control Interne Passing Juice
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BITxBIT: Encouraging Behavior Change with N=2 Experiments Interne Passing Juice
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Interactive Musical Improvisation with Magenta Interne Passing Juice
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Machine Learning of Sleep and Wake Behaviors to Classify Self-Reported Evening Mood Interne Passing Juice
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Personality, Attitudes, and Bonding in Conversations Interne Passing Juice
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Tuning Recurrent Neural Networks with Reinforcement Learning Interne Passing Juice
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Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language Interne Passing Juice
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Active learning for Electrodermal Activity classification Interne Passing Juice
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Automatic identification of artifacts in Electrodermal Activity data Interne Passing Juice
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EDA Explorer tool Externe Passing Juice
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Engaging the workplace with challenges Interne Passing Juice
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Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing Interne Passing Juice
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Predicting students' happiness from physiology, phone, mobility, and behavioral data Interne Passing Juice
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Prediction of happy-sad mood from daily behaviors and previous sleep history Interne Passing Juice
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Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones Interne Passing Juice
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SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. Interne Passing Juice
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Wavelet-based motion artifact removal for Electrodermal Activity Interne Passing Juice
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Predicting Affect from Gaze Data During Interaction with an Intelligent Tutoring System Interne Passing Juice
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Predicting Affect in an Intelligent Tutoring System Interne Passing Juice
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A Comparison of Random Forests and Dropout Nets for Sign Language Recognition with the Kinect Interne Passing Juice
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Emotionally Adaptive Intelligent Tutoring Systems using POMDPs Interne Passing Juice
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Fast Johnson–Lindenstrauss transform for classification of high dimensional data Interne Passing Juice
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Understanding attention to adaptive hints in educational games: an eye-tracking study Interne Passing Juice
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Affective Computing Interne Passing Juice
Communication and Language Interne Passing Juice
Cooperation Interne Passing Juice
Deep Learning Interne Passing Juice
Electrodermal Activity Interne Passing Juice
Emergent Complexity Interne Passing Juice
Generalization Interne Passing Juice
Generative Models Interne Passing Juice
Healthcare Interne Passing Juice
Human-AI Interaction Interne Passing Juice
Human-Computer Interaction Interne Passing Juice
Intelligent Tutoring Systems Interne Passing Juice
Machine Learning Interne Passing Juice
Multi-Agent Interne Passing Juice
Physiology Interne Passing Juice
Reinforcement Learning Interne Passing Juice
Sensors Interne Passing Juice
Sequence Modeling Interne Passing Juice
Social Learning Interne Passing Juice
Wellbeing Interne Passing Juice
Adaptive Learning Agents workshop at AAMAS Interne Passing Juice
Institute for Pure and Applied Mathematics (IPAM) Mathematics of Intelligence workshop Interne Passing Juice
NeurIPS Political Economy of Reinforcement Learning Panel Interne Passing Juice
Conference on Robot Learning (CoRL) Tutorial Interne Passing Juice
Jay Shah Podcast Interne Passing Juice
Re-Work Women in AI Podcast Interne Passing Juice
Institute of Cognitive Science Deep Reinforcement Learning Workshop Interne Passing Juice
UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Seminar Interne Passing Juice
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Berkeley Multi-Agent Reinforcement Learning Seminar Externe Passing Juice
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ICLR 2020 Climate Change for Artificial Intelligence (CCAI) workshop Externe Passing Juice
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NeurIPS 2019 Emergent Communication (EmeComm) workshop Externe Passing Juice
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Mots-clefs

Nuage de mots-clefs

from social natasha data learning cite machine jaques pdf using

Cohérence des mots-clefs

Mot-clef Contenu Titre Mots-clefs Description Niveaux de titre
learning 116
natasha 56
jaques 56
cite 53
pdf 45

Ergonomie

Url

Domaine : natashajaques.ai

Longueur : 16

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