publications

2022

1. Ph.D.

   Explaining Reinforcement Learning Agents by Policy Comparison

   Jun Ki Lee

   2022

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2. RLDM

   Explaining Reinforcement Learning Agents by Policy Comparison

   Jun Ki Lee, and Michael L Littman

   In 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022

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2021

1. Ap.AI

   Measuring and characterizing generalization in deep reinforcement learning

   Sam Witty, Jun Ki Lee, Emma Tosch, and 4 more authors

   Applied AI Letters 2021

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2020

1. HRI

   Teaching a robot tasks of arbitrary complexity via human feedback

   Guan Wang, Carl Trimbach, Jun Ki Lee, and 2 more authors

   In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction 2020

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2019

1. ICSR

   Stackelberg punishment and bully-proofing autonomous vehicles

   Matt Cooper, Jun Ki Lee, Jacob Beck, and 7 more authors

   In International Conference on Social Robotics 2019

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2. Arxiv

   Deep Reinforcement Learning from Policy-Dependent Human Feedback

   Dilip Arumugam, Jun Ki Lee, Sophie Saskin, and 1 more author

   2019

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2018

1. Arxiv

   Mitigating Planner Overfitting in Model-Based Reinforcement Learning

   Dilip Arumugam, David Abel, Kavosh Asadi, and 5 more authors

   2018

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2014

1. AAAI

   Goal-based teleoperation for robot manipulation

   Jun Ki Lee, and Odest Chadwicke Jenkins

   In 2014 AAAI Fall Symposium Series 2014

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2010

1. CHI

   Human Social Response toward Humanoid Robot’s Head and Facial Features

   Jun Ki Lee, and Cynthia Breazeal

   In CHI ’10 Extended Abstracts on Human Factors in Computing Systems 2010

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   This study explores how people’s social response toward a humanoid robot can change when we vary the number of the active degrees of freedom in the robot’s head and face area. We investigate this problem by conducting two wizard-of-oz user studies that situate an elder person in a self-disclosure dialogue with a remotely operated robot. In our first study, we investigated the effect of expressive head gestures with a four-degree-of-freedom neck. In the second study we focused on the face where we investigated the effect of expressive eyebrow movement versus active gaze and eyelid movement. In the first study, we found that participants are willing to disclose more to the robot when the robot moved its neck in an expressive manner. In the second study, our data suggests a trend where gaze and expressive eyelid movement results in more disclosure over eyebrow movement

2009

1. AR

   Semi-Autonomous Robot Avatar as a Medium for Family Communication and Education

   Jun Ki Lee, Walter Dan Stiehl, Robert Lopez Toscano, and 1 more author

   Advanced Robotics 2009

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2. M.S.

   Affordable Avatar Control System for Personal Robots

   Jun Ki Lee

   2009

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3. IDC

   The Huggable: A Platform for Research in Robotic Companions for Pediatric Care

   Walter Dan Stiehl, Jun Ki Lee, Cynthia Breazeal, and 3 more authors

   In Proceedings of the 8th International Conference on Interaction Design and Children 2009

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   Robotic companions offer a unique combination of embodiment and computation which open many new interesting opportunities in the field of pediatric care. As these new technologies are developed, we must consider the central research questions of how such systems should be designed and what the appropriate applications for such systems are. In this paper we present the Huggable, a robotic companion in the form factor of a teddy bear and outline a series of studies we are planning to run using the Huggable in a pediatric care unit.

2008

1. AAAI

   The Huggable: A Platform for Research in Robotic Companions for Eldercare.

   Walter Dan Stiehl, Jun Ki Lee, Robert Lopez Toscano, and 1 more author

   In AAAI fall symposium: AI in eldercare: new solutions to old problems 2008

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2. RO-MAN

   The design of a semi-autonomous robot avatar for family communication and education

   Jun Ki Lee, Robert Lopez Toscano, Walter Dan Stiehl, and 1 more author

   In RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication 2008

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2006

1. B.S.

   Improvements in the Performance of the Hexagonal Tortoise Problem using the Hybrid Genetic Algorithms

   Jun Ki Lee

   2006