Preprints

Achieving Human Level Competitive Robot Table Tennis
David B. D’Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen1, Heni Ben Amor2, Alex Bewley2, Barney J. Reed2,†, Krista Reymann2, Leila Takayama2,§, Yuval Tassa2, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, and Pannag R. Sanketi
Paper  
ReaLJam: Real-Time, Synchronous Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers
Alexander Scarlatos, Yusong Wu, Ian Simon, Adam Roberts, Tim Cooijmans, Natasha Jaques, Cassie Tarakajian, Anna Huang
Paper  

2024

Infer Human’s Intentions Before Following Natural Language Instructions
Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao*, Natasha Jaques*
AAAI Conference on Artificial Intelligence (AAAI) 2025
Paper   Website  
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
Josh Holder, Natasha Jaques, Mehran Mesbahi
AAAI Conference on Artificial Intelligence (AAAI) 2025
Paper  
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta*, Natasha Jaques*
Neural Information Processing Systems (NeurIPS) 2024    (Spotlight)
Paper   Website  
Learning to Cooperate with Humans Using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Du, Natasha Jaques
Neural Information Processing Systems (NeurIPS) 2024
Paper   Website  
Impossibility theorems for feature attribution
Blair Bilodeau, Natasha Jaques, Pang-Wei Koh, Been Kim
Proceedings of the National Academy of Sciences (PNAS) 2024
Paper  
Adaptive Accompaniment with ReaLchords
Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang
International Conference on Machine Learning (ICML), 2024
Paper