Natasha Jaques

Natasha Jaques is a PhD candidate at MIT working on affective and social intelligence. She has interned with DeepMind and Google Brain, and was an OpenAI Scholars mentor. Her paper “Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning” received an honourable mention for best paper at ICML 2019.

Featured References

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement LearningNatasha Jaques, Angeliki Lazaridou, Edward Hughes, Caglar Gulcehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas

Tackling climate change with Machine LearningDavid 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

Additional References

• MIT Media Lab Flight Offsets, Caroline Jaffe, Juliana Cherston, Natasha Jaques
• Modeling Others using Oneself in Multi-Agent Reinforcement Learning,
  Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
• Inequity aversion improves cooperation in intertemporal social dilemmas,
  Edward Hughes, Joel Z. Leibo, Matthew G. Phillips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel
• Sequential Social Dilemma Games on github, Eugene Vinitsky, Natasha Jaques
• AI Alignment newsletter, Rohin Shah
• Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions, Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
• The social function of intellect, Nicholas Humphrey
• Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research, Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel
• A Recipe for Training Neural Networks, Andrej Karpathy
• Emotionally Adaptive Intelligent Tutoring Systems using POMDPs, Natasha Jaques
• Sapiens, Yuval Noah Harari