College of Information and Computer Sciences

AAAI Fellow

Co-Director, Autonomous Learning Laboratory

Editorial Board, Journal of Machine Learning Research

Artificial Intelligence

Imagination Science

Machine Learning

Representation Discovery

Variational Inequalities

firstname.i.lastname AT gmail

UMass Administrative Assistant: Susan Overstreet

I am on leave from UMass. I am currently Director of the Data Science Lab at Adobe Research in San Jose, CA, and Visiting Professor in the Department of Computer Science at Stanford University.

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I have three decades of research experience in machine learning (ML) and AI. My current focus is on developing a new framework for AI/ML called imagination science, which studies the uniquely human capacity to "mentally transcend time, place, and circumstance". I have recently given talks on the new framework at Google Brain (Mountain View), Stanford Computer Science Department, Adobe Research (San Jose), and IBM Almaden Research. I will be presenting a four hour tutorial on imagination machines at the IJCAI-ECAI conferences in Stockholm, Sweden, in July 2018.

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Sridhar Mahadevan, Imagination Machines: A New Challenge for Artificial Intelligence, AAAI Conference, 2018 (received the Blue Sky Paper Award from the Computing Community Consortium).

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• Tutorial on imagination machines, International Joint Conference on Artificial Intelligence (IJCAI), July 2018. Stockholm, Sweden.
  

• Invited talk on Proximal Reinforcement Learning: Learning to Act in Primal-Dual Spaces at the RLDM (Reinforcement Learning and Decision Making) conference in 2015.
  

• Tutorial on a new framework for ML and AI based on variational inequalities, AAAI 2015, January 26 2015.