natashajaques.ai

Website review natashajaques.ai

Natasha Jaques

 Generated on February 28 2026 20:09 PM

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Natasha Jaques

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Property Content
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

Headings

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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In-page links

We found a total of 249 links including 37 link(s) to files

Anchor Type Juice
Natasha Jaques Internal Passing Juice
learning Internal Passing Juice
generalization Internal Passing Juice
coordination Internal Passing Juice
human-AI interaction Internal Passing Juice
Social RL Lab External Passing Juice
contact page External Passing Juice
PhD at MIT Internal Passing Juice
fine-tuning language models with RL Internal Passing Juice
1 External Passing Juice
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Visiting Postdoctoral Scholar at UC Berkeley External Passing Juice
Affective Computing Internal Passing Juice
deep Internal Passing Juice
reinforcement Internal Passing Juice
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Multi-Agent Learning and Coordination Internal Passing Juice
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Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Internal Passing Juice
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Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health Internal Passing Juice
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ML4HC Best Paper External Passing Juice
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searching publications Internal Passing Juice
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Concept-based Understanding of Emergent Multi-Agent Behavior Internal Passing Juice
Moral Foundations of Large Language Models Internal Passing Juice
In the ZONE: Measuring difficulty and progression in curriculum generation Internal Passing Juice
Multi-Agent Reinforcement Learning for Hardware Architecture Search: A Case Study on Domain-Specific DRAM Memory Controller Design Internal Passing Juice
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience Internal Passing Juice
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Less is More: Generating Grounded Navigation Instructions from Landmarks Internal 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 Internal Passing Juice
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Environment Generation for Zero-Shot Compositional Reinforcement Learning Internal Passing Juice
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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Internal Passing Juice
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Emergent Social Learning via Multi-agent Reinforcement Learning Internal Passing Juice
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Cooperative AI talk External Passing Juice
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Joint Attention for Multi-Agent Coordination and Social Learning Internal Passing Juice
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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems Internal Passing Juice
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Automatic Triage and Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation Internal Passing Juice
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Hierarchical Reinforcement Learning for Open-Domain Dialog Internal Passing Juice
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Social and Affective Machine Learning Internal Passing Juice
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Tackling Climate Change with Machine Learning Internal Passing Juice
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CCAI Organization External Passing Juice
MIT Tech Review article External Passing Juice
National Geographic article External Passing Juice
ACM Computing Surveys External Passing Juice
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback Internal Passing Juice
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Vomit Comet Physiology: Autonomic Changes in Novice Flyers Internal Passing Juice
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Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students Internal Passing Juice
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Multimodal Autoencoder: A Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction Internal Passing Juice
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Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation Internal Passing Juice
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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control Internal Passing Juice
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Machine Learning of Sleep and Wake Behaviors to Classify Self-Reported Evening Mood Internal Passing Juice
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Personality, Attitudes, and Bonding in Conversations Internal Passing Juice
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Tuning Recurrent Neural Networks with Reinforcement Learning Internal Passing Juice
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Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language Internal Passing Juice
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Active learning for Electrodermal Activity classification Internal Passing Juice
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Automatic identification of artifacts in Electrodermal Activity data Internal Passing Juice
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Multi-task Multi-Kernel Learning for Estimating Individual Wellbeing Internal Passing Juice
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Predicting students' happiness from physiology, phone, mobility, and behavioral data Internal Passing Juice
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Prediction of happy-sad mood from daily behaviors and previous sleep history Internal Passing Juice
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Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones Internal Passing Juice
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SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. Internal Passing Juice
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Wavelet-based motion artifact removal for Electrodermal Activity Internal Passing Juice
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Predicting Affect from Gaze Data During Interaction with an Intelligent Tutoring System Internal Passing Juice
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Predicting Affect in an Intelligent Tutoring System Internal Passing Juice
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Emotionally Adaptive Intelligent Tutoring Systems using POMDPs Internal Passing Juice
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Fast Johnson–Lindenstrauss transform for classification of high dimensional data Internal Passing Juice
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Understanding attention to adaptive hints in educational games: an eye-tracking study Internal Passing Juice
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Affective Computing Internal Passing Juice
Communication and Language Internal Passing Juice
Cooperation Internal Passing Juice
Deep Learning Internal Passing Juice
Electrodermal Activity Internal Passing Juice
Emergent Complexity Internal Passing Juice
Generalization Internal Passing Juice
Generative Models Internal Passing Juice
Healthcare Internal Passing Juice
Human-AI Interaction Internal Passing Juice
Human-Computer Interaction Internal Passing Juice
Intelligent Tutoring Systems Internal Passing Juice
Machine Learning Internal Passing Juice
Multi-Agent Internal Passing Juice
Physiology Internal Passing Juice
Reinforcement Learning Internal Passing Juice
Sensors Internal Passing Juice
Sequence Modeling Internal Passing Juice
Social Learning Internal Passing Juice
Wellbeing Internal Passing Juice
Adaptive Learning Agents workshop at AAMAS Internal Passing Juice
Institute for Pure and Applied Mathematics (IPAM) Mathematics of Intelligence workshop Internal Passing Juice
NeurIPS Political Economy of Reinforcement Learning Panel Internal Passing Juice
Conference on Robot Learning (CoRL) Tutorial Internal Passing Juice
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Institute of Cognitive Science Deep Reinforcement Learning Workshop Internal Passing Juice
UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Seminar Internal Passing Juice
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Berkeley Multi-Agent Reinforcement Learning Seminar External Passing Juice
NeurIPS 2021 Cooperative AI workshop External Passing Juice
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ICLR 2020 Climate Change for Artificial Intelligence (CCAI) workshop External Passing Juice
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SEO Keywords

Keywords Cloud

social learning natasha jaques cite using from machine data pdf

Keywords Consistency

Keyword Content Title Keywords Description Headings
learning 116
natasha 56
jaques 56
cite 53
pdf 45

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