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Christopher Archibald

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2020 – today

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2026
[j6]
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Christopher Archibald, Spencer Brosnahan, Diego Blaylock:
Adapting to Teammates in a Cooperative Language Game. IEEE Trans. Games 18(1): 115-127 (2026)
[i7]
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Junhao Su, David Grimsman, Christopher Archibald:
The Value of Graph-based Encoding in NBA Salary Prediction. CoRR abs/2603.05671 (2026)
2025
[c22]
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Joseph Bills, Christopher Archibald, Diego Blaylock:
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy. AAAI 2025: 13658-13666
[c21]
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Christopher Archibald, Koby Cutler, Tyler Barney, Matthew Sheppard, Blake Peterson:
Evaluating AI Cooperation with Humans in Codenames. CoG 2025: 1-8
[c20]
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Delma I. Nieves-Rivera, Christopher Archibald, Cindy L. Bethel:
Are Coaches Open to AI Tools? An Initial Investigation in Baseball and Softball. SportsHCI 2025: 19:1-19:7
[c19]
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Joshua Culmer, Matthew Sheppard, Christopher Archibald:
Know Thyself: Exploring Self-Awareness of Execution Skill in Darts. SportsHCI 2025: 23:1-23:10
[i6]
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  - journals/corr/abs-2511-17733
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Tristan Mott, Caleb Bradshaw, David Grimsman, Christopher Archibald:
The Impacts of Increasingly Complex Matchup Models on Baseball Win Probability. CoRR abs/2511.17733 (2025)
2024
[j5]
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Christopher Archibald, Delma Nieves-Rivera:
Estimating Agent Skill in Continuous Action Domains. J. Artif. Intell. Res. 80: 27-86 (2024)
[c18]
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Christopher Archibald, Diego Blaylock:
Noisy Communication Modeling for Improved Cooperation in Codenames. CoG 2024: 1-8
[c17]
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Delma Nieves-Rivera, Christopher Archibald:
Approximate Estimation of High-Dimension Execution Skill for Dynamic Agents in Continuous Domains. ECAI 2024: 3137-3144
[i5]
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  - journals/corr/abs-2403-00823
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Christopher Archibald, Spencer Brosnahan:
Adapting to Teammates in a Cooperative Language Game. CoRR abs/2403.00823 (2024)
[i4]
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  - journals/corr/abs-2408-10512
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Delma Nieves-Rivera, Christopher Archibald:
Approximate Estimation of High-dimension Execution Skill for Dynamic Agents in Continuous Domains. CoRR abs/2408.10512 (2024)
[i3]
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  - journals/corr/abs-2412-12409
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Joseph Bills, Christopher Archibald, Diego Blaylock:
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy. CoRR abs/2412.12409 (2024)
2023
[c16]
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Joseph Bills, Christopher Archibald:
A Deductive Agent Hierarchy: Strategic Reasoning in Codenames. CoG 2023: 1-8
2021
[c15]
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Thomas Miller, Christopher Archibald:
Monte Carlo Skill Estimation for Darts. SSCI 2021: 1-8

2010 – 2019

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2019
[c14]
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Christopher Archibald, Delma Nieves-Rivera:
Bayesian Execution Skill Estimation. AAAI 2019: 6014-6021
[c13]
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Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist:
Model AI Assignments 2019. AAAI 2019: 9751-9753
2018
[c12]
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Christopher Archibald, Delma Nieves-Rivera:
Execution Skill Estimation. AAMAS 2018: 1859-1861
[c11]
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Phyllis J. Beck, Mahnas Jean Mohammadi-Aragh, Christopher Archibald, Bryan A. Jones, Amy Barton:
Real-time Metacognition Feedback for Introductory Programming Using Machine Learning. FIE 2018: 1-5
[i2]
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Pan Wei, John E. Ball, Derek T. Anderson, Archit Harsh, Christopher Archibald:
Measuring Conflict in a Multi-Source Environment as a Normal Measure. CoRR abs/1803.04556 (2018)
2017
[j4]
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Christopher Archibald, Luke Schwalm, John E. Ball:
A Survey of Security in robotic Systems: Vulnerabilities, Attacks, and solutions. Int. J. Robotics Autom. 32(2) (2017)
2016
[j3]
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Christopher Archibald, Alon Altman, Yoav Shoham:
A Distributed Agent for Computational Pool. IEEE Trans. Comput. Intell. AI Games 8(2): 190-202 (2016)
2015
[c10]
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Pan Wei, John E. Ball, Derek T. Anderson, Archit Harsh, Christopher Archibald:
Measuring conflict in a multi-source environment as a normal measure. CAMSAP 2015: 225-228
2013
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Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar:
The AAAI-13 Conference Workshops. AI Mag. 34(4): 9- (2013)
[c9]
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Parisa Mazrooei, Christopher Archibald, Michael Bowling:
Automating Collusion Detection in Sequential Games. AAAI 2013: 675-682
[c8]
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Joshua Davidson, Christopher Archibald, Michael Bowling:
Baseline: practical control variates for agent evaluation in zero-sum domains. AAMAS 2013: 1005-1012
[c7]
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Christopher Archibald, Neil Burch, Michael Bowling, Matthew J. Rutherford:
Rating players in games with real-valued outcomes. AAMAS 2013: 1307-1308
[c6]
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Marc Lanctot, Abdallah Saffidine, Joel Veness, Christopher Archibald, Mark H. M. Winands:
Monte Carlo *-Minimax Search. IJCAI 2013: 580-586
[i1]
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  - journals/corr/abs-1304-6057
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Marc Lanctot, Abdallah Saffidine, Joel Veness, Christopher Archibald, Mark H. M. Winands:
Monte Carlo *-Minimax Search. CoRR abs/1304.6057 (2013)
2011
[b1]
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Christopher Archibald:
Skill and billiards. Stanford University, USA, 2011
[c5]
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Christopher Archibald, Ying Zhang, Juan Liu:
Human Motion Prediction for Indoor Mobile Relay Networks. HPCC 2011: 989-994
[c4]
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Christopher Archibald, Yoav Shoham:
Hustling in Repeated Zero-Sum Games with Imperfect Execution. IJCAI 2011: 31-36
2010
[j1]
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Christopher Archibald, Alon Altman, Michael A. Greenspan, Yoav Shoham:
Computational Pool: A New Challenge for Game Theory Pragmatics. AI Mag. 31(4): 33-41 (2010)
[c3]
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Christopher Archibald, Alon Altman, Yoav Shoham:
Success, strategy and skill: an experimental study. AAMAS 2010: 1089-1096

2000 – 2009

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2009
[c2]
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Christopher Archibald, Yoav Shoham:
Modeling billiards games. AAMAS (1) 2009: 193-199
[c1]
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Christopher Archibald, Alon Altman, Yoav Shoham:
Analysis of a Winning Computational Billiards Player. IJCAI 2009: 1377-1382

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