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AIC Seminar Series

CAMeLeon: Standardizing Reinforcement Learning Competency Assessment for Custom Agents and Environments

Sam ShowalterSRI AIC / UC Irvine[Home Page]

Date:  Friday, August 27th 2021 at 4:00pm

Location:  Zoom:  (Directions)

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Today we increasingly rely on machine learning models to autonomously reason about the world. However, existing research indicates that even well-trained systems are often unreliable when exposed to unfamiliar or out-of-distribution (OOD) inputs. In turn, research on machine learning robustness continues to grow in order to address this need. Under DARPA’s Competency Awareness Machine Learning (CAML) project, SRI has been working on this problem for some time, specifically exploring methods to analyze the competency of a reinforcement learning agent as it interacts with an environment. Though competency is an abstract concept, we have built a suite of tools to quantify and characterize competency along many different dimensions. For my internship, I designed and built CAMeLeon, a research package that allows scientists to easily leverage this toolkit and assess the competency of custom agents and environments through a single standard API. Moreover, CAMeLeon can assist with rapid environment development and model training by leveraging a set of highly optimized distributed computing tools. In this talk, we will discuss the need for tools like CAMeLeon, details about its design, and close with a demonstration of its capabilities on Canniballs, a custom game built to examine competency in RL agents.`

   Bio for Sam Showalter

Sam Showalter is a computer science PhD student at the University of California, Irvine exploring machine learning robustness, novelty detection, and domain adaptation. His primary interests include examining autonomous perception and decision making under uncertainty as well as building competent, trustworthy ML systems. Previously, he has worked as a technology consultant for West Monroe Partners and as a quantum computing researcher for the National Institute of Standards and Technology (NIST). To learn more about or connect with Sam, you can visit his website here:

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