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Bios September 8, 2021

Melinda Gervasio

Technical Director, Artificial Intelligence Center

Melinda Gervasio, Ph.D., is a Technical Director in SRI’s Artificial Intelligence Center. She focuses on developing technology that combines human and machine intelligence.

Gervasio’s research interests include intelligent assistants, machine learning for autonomous agents, adaptive personalization, interactive machine learning, end-user programming, and intelligent training systems. As the technical lead on a number of government-funded projects, she has developed technologies for learning from demonstration, adaptive assistance, proactive decision support, and recommendation for informal learning.

Before joining SRI, Gervasio co-founded MindShadow, where she played a key technical role in developing a software platform for personalized, content-based recommendation. She was also a research scientist at the Institute for the Study of Learning and Expertise, where she worked on adaptive personalization.

Gervasio has a Ph.D. in computer science from the University of Illinois at Urbana-Champaign and a B.S. in computer science from the University of the Philippines Diliman.

Recent publications

more +
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning (11/1/2022) - Our new framework provides various measures of RL agent competence stemming from interestingness analysis and is applicable to a wide…
A Framework for understanding and Visualizing Strategies of RL Agents (8/17/2022) - We present a framework for learning comprehensible models of sequential decision tasks in which agent strategies are characterized using temporal…
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space (7/1/2022) - We present a novel generative method for producing unseen and plausible counterfactual examples for reinforcement learning (RL) agents based upon…

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