Jaques, Natasha

33 publications

ICLRW 2025 Achieving Human Level Competitive Robot Table Tennis David B D'Ambrosio, Saminda Wishwajith Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Marcin 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, Pannag R Sanketi

NeurIPS 2025 Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques

ICML 2025 Cross-Environment Cooperation Enables Zero-Shot Multi-Agent Coordination Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques

NeurIPS 2025 Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques

NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo

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

ICLR 2025 InvestESG: A Multi-Agent Reinforcement Learning Benchmark for Studying Climate Investment as a Social Dilemma Xiaoxuan Hou, Jiayi Yuan, Joel Z Leibo, Natasha Jaques

AAAI 2025 Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems Joshua Holder, Natasha Jaques, Mehran Mesbahi

ICML 2024 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

NeurIPSW 2024 An Efficient Open World Benchmark for Multi-Agent Reinforcement Learning Eric Ye, Natasha Jaques

NeurIPSW 2024 Genetic Curriculum Learning for Distribution Generalization on the Travelling Salesman Problem Michael Li, Christopher Haberland, Natasha Jaques

NeurIPSW 2024 Infer Human’s Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

NeurIPSW 2024 InfiniteKitchen: Cross-Environment Cooperation for Zero-Shot Multi-Agent Coordination Kunal Jha, Natasha Jaques, Max Kleiman-Weiner

NeurIPS 2024 Learning to Cooperate with Humans Using Generative Agents Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques

NeurIPSW 2024 Learning to Cooperate with Humans Using Generative Agents Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques

NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Dipam Chakraborty, Yue Zhao, Marko Tesic, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, Joel Z Leibo

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

NeurIPSW 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

NeurIPSW 2022 Concept-Based Understanding of Emergent Multi-Agent Behavior Niko Grupen, Natasha Jaques, Been Kim, Shayegan Omidshafiei

NeurIPSW 2022 In the ZONE: Measuring Difficulty and Progression in Curriculum Generation Rose E Wang, Jesse Mu, Dilip Arumugam, Natasha Jaques, Noah Goodman

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

ICML 2021 Emergent Social Learning via Multi-Agent Reinforcement Learning Kamal K Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques

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

ICMLW 2021 Explore and Control with Adversarial Surprise Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

ICML 2021 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

NeurIPS 2020 Emergent Complexity and Zero-Shot Transfer via Unsupervised Environment Design Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart J. Russell, Andrew Critch, Sergey Levine

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

ICLR 2020 Way Off-Policy Batch Deep Reinforcement Learning of Human Preferences in Dialog Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard

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

ICML 2019 Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro Ortega, Dj Strouse, Joel Z. Leibo, Nando De Freitas

IJCAI 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

ICML 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

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