Josiah Hanna Assistant Professor, UW--Madison

Josiah Hanna

jphanna [at] cs.wisc.edu
Computer Sciences Department
University of Wisconsin -- Madison

I am an assistant professor in the Computer Sciences Department at the University of Wisconsin--Madison. The goal of my research is to create intelligent agents---robots and software systems---that learn to make decisions on their own---improving through experience rather than following fixed logic. Toward this goal, my work primarily focuses on reinforcement learning (RL) and spans algorithm design and applications, particularly in robotics. I lead the Prediction and Action Lab (PAL) where I work with a fantastic group of students and collaborators. I also advise a team of students that participates in the annual RoboCup competition, with a focus on developing learning-based approches to robot soccer.

I am part of the broader reinforcement learning and robotics groups at UW -- Madison and an affiliate of the Data Science Institute.

Prospective PhD Students: If you are a prospective PhD student interested in working with me, please apply to the UW–Madison CS PhD program and mention my name in your application. Due to the high volume of inquiries I receive, I am unfortunately unable to reply to individual prospective student emails. However, once you are accepted to the program, please feel free to contact me!

Prospective Undergraduate Students: If you are an undergraduate student already at UW–Madison interested in research opportunities with PAL or the RoboCup team, please fill out this Google Form. Once you have completed the form, feel free to reach out to me. Prospective students are also welcome to stop by my office hours to learn more or discuss potential projects.

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Josiah Hanna is an assistant professor in the Computer Sciences Department at the University of Wisconsin -- Madison. He received his Ph.D. in the Computer Science Department at the University of Texas at Austin. Prior to attending UT Austin, he completed his B.S. in computer science and mathematics at the University of Kentucky. Before joining UW--Madison, he was a post-doc at the University of Edinburgh and also spent time at FiveAI (now part of Bosch) working on autonomous driving.

The goal of his research is to develop fully autonomous agents that learn how to achieve goals from experience. In particular, he studies reinforcement learning (RL) and methods to increase the data efficiency of RL algorithms and our confidence in the behaviors output by RL algorithms.

His work has been recognized by both the AAAI and IJCAI Early Career Faculty Spotlight Programs.

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  • Teaching
    • Spring 2026: CS 639: Autonomous Robotics
    • Fall 2025: CS 839: Topics in RL
    • Spring 2025: CS 639: Autonomous Robotics
    • Fall 2023: CS 760: Machine Learning
    • Spring 2023: CS 540: Intro to AI
    • Fall 2022: CS 839: Topics in RL
    • Fall 2021: CS 540: Intro to AI
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