Natasha Jaques

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 49

Top Topics

Social Awareness

Temporal Difference

Reinforcement Learning

Top Venues

Publications

Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques
Moral Foundations of Large Language Models. CoRR (2023)
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55 (2) (2023)
Marwa Abdulhai, Natasha Jaques, Sergey Levine
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience. CoRR (2022)
Blair Bilodeau, Natasha Jaques, Pang Wei Koh, Been Kim
Impossibility Theorems for Feature Attribution. CoRR (2022)
Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR (2022)
Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
Environment Generation for Zero-Shot Compositional Reinforcement Learning. CoRR (2022)
Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson
Less is More: Generating Grounded Navigation Instructions from Landmarks. CVPR (2022)
Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson
Less is More: Generating Grounded Navigation Instructions from Landmarks. CoRR (2021)
Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust
Joint Attention for Multi-Agent Coordination and Social Learning. CoRR (2021)
Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
Explore and Control with Adversarial Surprise. CoRR (2021)
Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
Environment Generation for Zero-Shot Compositional Reinforcement Learning. NeurIPS (2021)
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. ICML (2021)
Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
Emergent Social Learning via Multi-agent Reinforcement Learning. ICML (2021)
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. CoRR (2021)
Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust
Adversarial Environment Generation for Learning to Navigate the Web. CoRR (2021)
Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
Multi-agent Social Reinforcement Learning Improves Generalization. CoRR (2020)
Sara Taylor, Natasha Jaques, Ehimwenma Nosakhare, Akane Sano, Rosalind W. Picard
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. IEEE Trans. Affect. Comput. 11 (2) (2020)
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Shane Gu, Rosalind W. Picard
Human-centric Dialog Training via Offline Reinforcement Learning. CoRR (2020)
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard
Human-centric dialog training via offline reinforcement learning. EMNLP (1) (2020)
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS (2020)
Natasha Jaques
Reinforcement learning from Affective Cues in Dialogue. AffCon@AAAI (2020)
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard
Hierarchical Reinforcement Learning for Open-Domain Dialog. AAAI (2020)
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR (2020)
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. CoRR (2019)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML (2019)
Noah Jones, Natasha Jaques, Pat Pataranutaporn, Asma Ghandeharioun, Rosalind W. Picard
Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. ACII Workshops (2019)
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
Tackling Climate Change with Machine Learning. CoRR (2019)
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. CoRR (2019)
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard
Hierarchical Reinforcement Learning for Open-Domain Dialog. CoRR (2019)
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. NeurIPS (2019)
Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
Learning via social awareness: improving sketch representations with facial feedback. CoRR (2018)
Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. AffComp@IJCAI (2018)
Kristina T. Johnson, Sara Taylor, Szymon Fedor, Natasha Jaques, Weixuan Chen, Rosalind W. Picard
Vomit Comet Physiology: Autonomic Changes in Novice Flyers. EMBC (2018)
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR (2018)
Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
Learning via social awareness: improving sketch representations with facial feedback. ICLR (Workshop) (2018)
Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard
Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. AffComp@IJCAI (2017)
Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
Tuning Recurrent Neural Networks with Reinforcement Learning. ICLR (Workshop) (2017)
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML (2017)
Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard
Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. ACII (2017)
Natasha Jaques, Daniel J. McDuff, Yoo Lim Kim, Rosalind W. Picard
Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. IVA (2016)
Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin
BITxBIT: Encouraging Behavior Change with N=2 Experiments. CHI Extended Abstracts (2016)
Natasha Jaques, Yoo Lim Kim, Rosalind W. Picard
Personality, Attitudes, and Bonding in Conversations. IVA (2016)
Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
Tuning Recurrent Neural Networks with Reinforcement Learning. CoRR (2016)
Natasha Jaques, Sara Taylor, Asaph Azaria, Asma Ghandeharioun, Akane Sano, Rosalind W. Picard
Predicting students' happiness from physiology, phone, mobility, and behavioral data. ACII (2015)
Akane Sano, Andrew J. K. Phillips, Amy Z. Yu, Andrew W. McHill, Sara Taylor, Natasha Jaques, Charles A. Czeisler, Elizabeth B. Klerman, Rosalind W. Picard
Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. BSN (2015)
Natasha Jaques, Weixuan 'Vincent' Chen, Rosalind W. Picard
SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. CHI Extended Abstracts (2015)
Weixuan Chen, Natasha Jaques, Sara Taylor, Akane Sano, Szymon Fedor, Rosalind W. Picard
Wavelet-based motion artifact removal for electrodermal activity. EMBC (2015)
Sara Taylor, Natasha Jaques, Weixuan 'Vincent' Chen, Szymon Fedor, Akane Sano, Rosalind W. Picard
Automatic identification of artifacts in electrodermal activity data. EMBC (2015)
Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips, Sara Taylor, Natasha Jaques, Elizabeth B. Klerman, Rosalind W. Picard
Prediction of Happy-Sad mood from daily behaviors and previous sleep history. EMBC (2015)
Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo
Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. Intelligent Tutoring Systems (2014)
Cristina Conati, Natasha Jaques, Mary Muir
Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. Int. J. Artif. Intell. Educ. 23 (1-4) (2013)