Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. - Cristina Conati; Natasha Jaques; Mary Muir (Int. J. Artif. Intell. Educ., 2013)

Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. - Natasha Jaques; Cristina Conati; Jason M. Harley; Roger Azevedo (Intelligent Tutoring Systems, 2014)

Predicting students' happiness from physiology, phone, mobility, and behavioral data. - Natasha Jaques; Sara Taylor; Asaph Azaria; Asma Ghandeharioun; Akane Sano; Rosalind W. Picard (ACII, 2015)

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. - 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 (BSN, 2015)

SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. - Natasha Jaques; Weixuan 'Vincent' Chen; Rosalind W. Picard (CHI Extended Abstracts, 2015)

Wavelet-based motion artifact removal for electrodermal activity. - Weixuan Chen; Natasha Jaques; Sara Taylor; Akane Sano; Szymon Fedor; Rosalind W. Picard (EMBC, 2015)

Prediction of Happy-Sad mood from daily behaviors and previous sleep history. - Akane Sano; Amy Z. Yu; Andrew W. McHill; Andrew J. K. Phillips; Sara Taylor; Natasha Jaques; Elizabeth B. Klerman; Rosalind W. Picard (EMBC, 2015)

Automatic identification of artifacts in electrodermal activity data. - Sara Taylor; Natasha Jaques; Weixuan 'Vincent' Chen; Szymon Fedor; Akane Sano; Rosalind W. Picard (EMBC, 2015)

BITxBIT: Encouraging Behavior Change with N=2 Experiments. - Natasha Jaques; Travis Rich; Karthik Dinakar; Niaja Farve; Weixuan 'Vincent' Chen; Pattie Maes; Rosalind W. Picard; Kevin Slavin (CHI Extended Abstracts, 2016)

Personality, Attitudes, and Bonding in Conversations. - Natasha Jaques; Yoo Lim Kim; Rosalind W. Picard (IVA, 2016)

Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. - Natasha Jaques; Daniel McDuff; Yoo Lim Kim; Rosalind W. Picard (IVA, 2016)

Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. - Natasha Jaques; Sara Taylor; Akane Sano; Rosalind W. Picard (ACII, 2017)

Tuning Recurrent Neural Networks with Reinforcement Learning. - Natasha Jaques; Shixiang Gu; Richard E. Turner; Douglas Eck (ICLR (Workshop), 2017)

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. - Natasha Jaques; Shixiang Gu; Dzmitry Bahdanau; José Miguel Hernández-Lobato; Richard E. Turner; Douglas Eck (ICML, 2017)

Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. - Natasha Jaques; Ognjen (Oggi) Rudovic; Sara Taylor; Akane Sano; Rosalind W. Picard (AffComp@IJCAI, 2017)

Vomit Comet Physiology: Autonomic Changes in Novice Flyers. - Kristina T. Johnson; Sara Taylor; Szymon Fedor; Natasha Jaques; Weixuan Chen; Rosalind W. Picard (EMBC, 2018)

Learning via social awareness: improving sketch representations with facial feedback. - Natasha Jaques; Jesse H. Engel; David Ha; Fred Bertsch; Rosalind W. Picard; Douglas Eck (ICLR (Workshop), 2018)

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. - Natasha Jaques; Jennifer McCleary; Jesse H. Engel; David Ha; Fred Bertsch; Douglas Eck; Rosalind W. Picard (AffComp@IJCAI, 2018)

Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. - Natasha Jaques; Angeliki Lazaridou; Edward Hughes 001; Çaglar Gülçehre; Pedro A. Ortega; DJ Strouse; Joel Z. Leibo; Nando de Freitas (CoRR, 2018)

Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. - Noah Jones; Natasha Jaques; Pat Pataranutaporn; Asma Ghandeharioun; Rosalind W. Picard (ACII Workshops, 2019)

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. - Natasha Jaques; Angeliki Lazaridou; Edward Hughes 001; Çaglar Gülçehre; Pedro A. Ortega; DJ Strouse; Joel Z. Leibo; Nando de Freitas (ICML, 2019)

Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. - Asma Ghandeharioun; Judy Hanwen Shen; Natasha Jaques; Craig Ferguson; Noah Jones; Àgata Lapedriza; Rosalind W. Picard (NeurIPS, 2019)

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. - Natasha Jaques; Asma Ghandeharioun; Judy Hanwen Shen; Craig Ferguson; Àgata Lapedriza; Noah Jones; Shixiang Gu; Rosalind W. Picard (CoRR, 2019)

Reinforcement learning from Affective Cues in Dialogue. - Natasha Jaques (AffCon@AAAI, 2020)

Hierarchical Reinforcement Learning for Open-Domain Dialog. - Abdelrhman Saleh; Natasha Jaques; Asma Ghandeharioun; Judy Hanwen Shen; Rosalind W. Picard (AAAI, 2020)

Human-centric dialog training via offline reinforcement learning. - Natasha Jaques; Judy Hanwen Shen; Asma Ghandeharioun; Craig Ferguson; Àgata Lapedriza; Noah Jones; Shixiang Gu; Rosalind W. Picard (EMNLP (1), 2020)

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. - Michael Dennis 001; Natasha Jaques; Eugene Vinitsky; Alexandre M. Bayen; Stuart Russell 001; Andrew Critch; Sergey Levine (NeurIPS, 2020)

Multi-agent Social Reinforcement Learning Improves Generalization. - Kamal Ndousse; Douglas Eck; Sergey Levine; Natasha Jaques (CoRR, 2020)

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. - Sara Taylor; Natasha Jaques; Ehimwenma Nosakhare; Akane Sano; Rosalind W. Picard (IEEE Trans. Affect. Comput., 2020)

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. - Angelos Filos; Clare Lyle; Yarin Gal; Sergey Levine; Natasha Jaques; Gregory Farquhar (ICML, 2021)

Emergent Social Learning via Multi-agent Reinforcement Learning. - Kamal Ndousse; Douglas Eck; Sergey Levine; Natasha Jaques (ICML, 2021)

Environment Generation for Zero-Shot Compositional Reinforcement Learning. - Izzeddin Gur; Natasha Jaques; Yingjie Miao; Jongwook Choi; Manoj Tiwari; Honglak Lee; Aleksandra Faust (NeurIPS, 2021)

Adversarial Environment Generation for Learning to Navigate the Web. - Izzeddin Gur; Natasha Jaques; Kevin Malta; Manoj Tiwari; Honglak Lee; Aleksandra Faust (CoRR, 2021)

Joint Attention for Multi-Agent Coordination and Social Learning. - Dennis Lee 003; Natasha Jaques; J. Chase Kew; Douglas Eck; Dale Schuurmans; Aleksandra Faust (CoRR, 2021)

Explore and Control with Adversarial Surprise. - Arnaud Fickinger; Natasha Jaques; Samyak Parajuli; Michael Chang 003; Nicholas Rhinehart; Glen Berseth; Stuart Russell 001; Sergey Levine (CoRR, 2021)

Less is More: Generating Grounded Navigation Instructions from Landmarks. - Su Wang 001; Ceslee Montgomery; Jordi Orbay; Vighnesh Birodkar; Aleksandra Faust; Izzeddin Gur; Natasha Jaques; Austin Waters; Jason Baldridge; Peter Anderson (CVPR, 2022)

Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience. - Marwa Abdulhai; Natasha Jaques; Sergey Levine (CoRR, 2022)

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. - Srivatsan Krishnan; Natasha Jaques; Shayegan Omidshafiei; Dan Zhang; Izzeddin Gur; Vijay Janapa Reddi; Aleksandra Faust (CoRR, 2022)

Impossibility Theorems for Feature Attribution. - Blair L. Bilodeau; Natasha Jaques; Pang Wei Koh; Been Kim (CoRR, 2022)

Tackling Climate Change with Machine Learning. - 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; et al. (ACM Comput. Surv., 2023)

Moral Foundations of Large Language Models. - Marwa Abdulhai; Gregory Serapio-García; Clément Crepy; Daria Valter; John Canny; Natasha Jaques (EMNLP, 2024)

Adaptive Accompaniment with ReaLchords. - Yusong Wu; Tim Cooijmans; Kyle Kastner; Adam Roberts; Ian Simon; Alexander Scarlatos; Chris Donahue; Cassie Tarakajian; Shayegan Omidshafiei; Aaron C. Courville; Pablo Samuel Castro; Natasha Jaques; et al. (ICML, 2024)

Learning to Cooperate with Humans using Generative Agents. - Yancheng Liang; Daphne Chen; Abhishek Gupta 004; Simon S. Du; Natasha Jaques (NeurIPS, 2024)

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning. - Sriyash Poddar; Yanming Wan; Hamish Ivison; Abhishek Gupta; Natasha Jaques (NeurIPS, 2024)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit Trivedi; Akbir Khan; Jesse Clifton; Lewis Hammond; Edgar A. Duéñez-Guzmán; Dipam Chakraborty; John P. Agapiou; Jayd Matyas; Alexander Sasha Vezhnevets; Barna Pásztor; Yunke Ao; Omar G. Younis; et al. (NeurIPS, 2024)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. - Joshua Holder; Natasha Jaques; Mehran Mesbahi (AAAI, 2025)

Infer Human's Intentions Before Following Natural Language Instructions. - Yanming Wan; Yue Wu; Yiping Wang; Jiayuan Mao; Natasha Jaques (AAAI, 2025)

ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers. - Alexander Scarlatos; Yusong Wu; Ian Simon; Adam Roberts; Tim Cooijmans; Natasha Jaques; Cassie Tarakajian; Cheng-Zhi Anna Huang (CHI Extended Abstracts, 2025)

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma. - Xiaoxuan Hou; Jiayi Yuan 002; Joel Z. Leibo; Natasha Jaques (ICLR, 2025)

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward. - Yanming Wan; Jiaxing Wu; Marwa Abdulhai; Lior Shani; Natasha Jaques (CoRR, 2025)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. - Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon S. Du; Max Kleiman-Weiner; Natasha Jaques (CoRR, 2025)

Improving Human-AI Coordination through Adversarial Training and Generative Models. - Paresh Chaudhary; Yancheng Liang; Daphne Chen; Simon S. Du; Natasha Jaques (CoRR, 2025)

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. - Mickel Liu; Liwei Jiang; Yancheng Liang; Simon Shaolei Du; Yejin Choi 001; Tim Althoff; Natasha Jaques (CoRR, 2025)

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. - Bo Liu 039; Leon Guertler; Simon Yu; Zichen Liu; Penghui Qi; Daniel Balcells; Mickel Liu; Cheston Tan; Weiyan Shi; Min Lin; Wee Sun Lee; Natasha Jaques (CoRR, 2025)

Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. - Hyunji Nam; Yanming Wan; Mickel Liu; Jianxun Lian; Natasha Jaques (CoRR, 2025)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. - Srivatsan Krishnan; Jason Jabbour; Dan Zhang; Natasha Jaques; Aleksandra Faust; Shayegan Omidshafiei; Vijay Janapa Reddi (CoRR, 2025)

Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem. - Michael Li; Eric Bae; Christopher Haberland; Natasha Jaques (CoRR, 2025)

An Efficient Open World Environment for Multi-Agent Social Learning. - Eric Ye; Ren Tao; Natasha Jaques (CoRR, 2025)