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2020 – today
- 2024
[c12]William Macke, Michael Doyle
:
Testing the Effect of Code Documentation on Large Language Model Code Understanding. NAACL-HLT (Findings) 2024: 1044-1050- [i8]William Macke, Michael Doyle:
Testing the Effect of Code Documentation on Large Language Model Code Understanding. CoRR abs/2404.03114 (2024) - [i7]Colin Diggs, Michael Doyle, Amit Madan, Siggy Scott, Emily Escamilla, Jacob Zimmer, Naveed Nekoo, Paul Ursino, Michael Bartholf, Zachary Robin, Anand Patel, Chris Glasz, William Macke, Paul Kirk, Jasper Phillips, Arun Sridharan, Doug Wendt, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker:
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation. CoRR abs/2411.14971 (2024) - 2023
- [c11]Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky:
Exploring the Cost of Interruptions in Human-Robot Teaming. Humanoids 2023: 1-8 - [i6]Swathi Mannem, William Macke, Peter Stone, Reuth Mirsky:
Exploring the Cost of Interruptions in Human-Robot Teaming. CoRR abs/2311.00785 (2023) - 2022
- [c10]Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht:
A Survey of Ad Hoc Teamwork Research. EUMAS 2022: 275-293 - [i5]Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht:
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR abs/2202.10450 (2022) - 2021
- [c9]William Macke, Reuth Mirsky, Peter Stone:
Expected Value of Communication for Planning in Ad Hoc Teamwork. AAAI 2021: 11290-11298 - [c8]Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies for Reducing Traffic Congestion. AAMAS 2021: 386-394 - [c7]Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone:
UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. RoboCup 2021: 314-326 - [i4]Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, Peter Stone:
Scalable Multiagent Driving Policies For Reducing Traffic Congestion. CoRR abs/2103.00058 (2021) - [i3]William Macke, Reuth Mirsky, Peter Stone:
Expected Value of Communication for Planning in Ad Hoc Teamwork. CoRR abs/2103.01171 (2021) - [i2]Yulin Zhang, William Macke, Jiaxun Cui, Daniel Urieli, Peter Stone:
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction. CoRR abs/2112.03759 (2021) - 2020
- [c6]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary optimization of deep learning activation functions. GECCO 2020: 289-296 - [c5]Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone:
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork. IJCAI 2020: 254-260 - [i1]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary Optimization of Deep Learning Activation Functions. CoRR abs/2002.07224 (2020)
2010 – 2019
- 2019
- [c4]Zhuoshu Li, Kelsey Lieberman, William Macke, Sofia Carrillo, Chien-Ju Ho, Jason Wellen, Sanmay Das:
Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. EC 2019: 349-367 - 2017
- [c3]Nathaniel Beckemeyer, William Macke, Sandip Sen:
Stable Configurations with (Meta)Punishing Agents. AAMAS Workshops (Visionary Papers) 2017: 17-30 - [c2]Jonathon Bolin, Chad Crawford, William Macke, Jon Hoffman, Sam Beckmann, Sandip Sen:
Gesture-Based Control of Autonomous UAVs. AAMAS 2017: 1484-1486 - [c1]Nathaniel Beckemeyer, William Macke, Sandip Sen:
Stable Configurations with (Meta)Punishing Agents. MABS 2017: 33-46
Coauthor Index
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