Gesture-Based Control of Autonomous UAVs. - Jonathon Bolin; Chad Crawford; William Macke; Jon Hoffman; Sam Beckmann; Sandip Sen (AAMAS, 2017)

Stable Configurations with (Meta)Punishing Agents. - Nathaniel Beckemeyer; William Macke; Sandip Sen (MABS, 2017)

Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. - Zhuoshu Li; Kelsey Lieberman; William Macke; Sofia Carrillo; Chien-Ju Ho; Jason Wellen; Sanmay Das (EC, 2019)

Evolutionary optimization of deep learning activation functions. - Garrett Bingham; William Macke; Risto Miikkulainen (GECCO, 2020)

A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. - Reuth Mirsky; William Macke; Andy Wang; Harel Yedidsion; Peter Stone 001 (IJCAI, 2020)

Expected Value of Communication for Planning in Ad Hoc Teamwork. - William Macke; Reuth Mirsky; Peter Stone 001 (AAAI, 2021)

Scalable Multiagent Driving Policies for Reducing Traffic Congestion. - Jiaxun Cui; William Macke; Harel Yedidsion; Aastha Goyal; Daniel Urieli; Peter Stone 001 (AAMAS, 2021)

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. - Patrick MacAlpine; Bo Liu 042; William Macke; Caroline Wang; Peter Stone 001 (RoboCup, 2021)

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. - Yulin Zhang; William Macke; Jiaxun Cui; Daniel Urieli; Peter Stone 001 (CoRR, 2021)

A Survey of Ad Hoc Teamwork Research. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (EUMAS, 2022)

A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. - Reuth Mirsky; Ignacio Carlucho; Arrasy Rahman; Elliot Fosong; William Macke; Mohan Sridharan; Peter Stone 001; Stefano V. Albrecht (CoRR, 2022)

Exploring the Cost of Interruptions in Human-Robot Teaming. - Swathi Mannem; William Macke; Peter Stone 001; Reuth Mirsky (Humanoids, 2023)

Testing the Effect of Code Documentation on Large Language Model Code Understanding. - William Macke; Michael Doyle (NAACL-HLT (Findings), 2024)

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation. - Colin Diggs; Michael Doyle; Amit Madan; Siggy Scott; Emily Escamilla; Jacob Zimmer; Naveed Nekoo; Paul Ursino; Michael Bartholf; Zachary Robin; Anand Patel; Chris Glasz; et al. (CoRR, 2024)

Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation. - Colin Diggs; Michael Doyle; Amit Madan; Eric O. Scott; Emily Escamilla; Jacob Zimmer; Naveed Nekoo; Paul Ursino; Michael Bartholf; Zachary Robin; Anand Patel; Chris Glasz; et al. (LLM4Code@ICSE, 2025)

Impact of Comments on LLM Comprehension of Legacy Code. - Rock Sabetto; Emily Escamilla; Devesh Agarwal; Sujay Kandwal; Justin F. Brunelle; Scott Rosen; Nitin Naik; Samruddhi Thaker; Eric O. Scott; Jacob Zimmer; Amit Madan; Arun Sridharan; et al. (CoRR, 2025)

Can LLMs Replace Humans During Code Chunking? - Christopher Glasz; Emily Escamilla; Eric O. Scott; Anand Patel; Jacob Zimmer; Colin Diggs; Michael Doyle; Scott Rosen; Nitin Naik; Justin F. Brunelle; Samruddhi Thaker; Parthav Poudel; et al. (CoRR, 2025)