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Explore and Control with Adversarial Surprise


Jul 12, 2021
Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine


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Joint Attention for Multi-Agent Coordination and Social Learning


Apr 15, 2021
Dennis Lee, Natasha Jaques, Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust


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Adversarial Environment Generation for Learning to Navigate the Web


Mar 02, 2021
Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust

* Presented at Deep RL Workshop, NeurIPS, 2020 

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PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning


Feb 24, 2021
Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar


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Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design


Dec 03, 2020
Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre Bayen, Stuart Russell, Andrew Critch, Sergey Levine


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Human-centric Dialog Training via Offline Reinforcement Learning


Oct 12, 2020
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Shane Gu, Rosalind Picard

* To appear in EMNLP 2020 (long paper) 

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Multi-agent Social Reinforcement Learning Improves Generalization


Oct 01, 2020
Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques

* 12 pages, 11 figures 

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Hierarchical Reinforcement Learning for Open-Domain Dialog


Sep 18, 2019
Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind Picard


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Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog


Jul 08, 2019
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard


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Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems


Jun 21, 2019
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, Rosalind Picard


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Tackling Climate Change with Machine Learning


Jun 10, 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. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio


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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL


Oct 19, 2018
Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas


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Learning via social awareness: Improving a deep generative sketching model with facial feedback


Aug 27, 2018
Natasha Jaques, Jennifer McCleary, Jesse Engel, David Ha, Fred Bertsch, Rosalind Picard, Douglas Eck


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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control


Oct 16, 2017
Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck

* Add supplementary material 

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