Modeling billiards games. - Christopher Archibald; Yoav Shoham (AAMAS (1), 2009)

Analysis of a Winning Computational Billiards Player. - Christopher Archibald; Alon Altman; Yoav Shoham (IJCAI, 2009)

Success, strategy and skill: an experimental study. - Christopher Archibald; Alon Altman; Yoav Shoham (AAMAS, 2010)

Computational Pool: A New Challenge for Game Theory Pragmatics. - Christopher Archibald; Alon Altman; Michael A. Greenspan; Yoav Shoham (AI Mag., 2010)

Human Motion Prediction for Indoor Mobile Relay Networks. - Christopher Archibald; Ying Zhang 048; Juan Liu 012 (HPCC, 2011)

Hustling in Repeated Zero-Sum Games with Imperfect Execution. - Christopher Archibald; Yoav Shoham (IJCAI, 2011)

Skill and billiards. - Christopher Archibald (2011)

Automating Collusion Detection in Sequential Games. - Parisa Mazrooei; Christopher Archibald; Michael Bowling (AAAI, 2013)

Rating players in games with real-valued outcomes. - Christopher Archibald; Neil Burch; Michael Bowling; Matthew J. Rutherford (AAMAS, 2013)

Baseline: practical control variates for agent evaluation in zero-sum domains. - Joshua Davidson; Christopher Archibald; Michael Bowling (AAMAS, 2013)

Monte Carlo *-Minimax Search. - Marc Lanctot; Abdallah Saffidine; Joel Veness; Christopher Archibald; Mark H. M. Winands (IJCAI, 2013)

The AAAI-13 Conference Workshops. - Vikas Agrawal; Christopher Archibald; Mehul Bhatt; Hung Bui 001; Diane J. Cook; Juan Cortés; Christopher W. Geib; Vibhav Gogate; Hans W. Guesgen; Dietmar Jannach; Michael Johanson; Kristian Kersting; et al. (AI Mag., 2013)

Measuring conflict in a multi-source environment as a normal measure. - Pan Wei; John E. Ball; Derek T. Anderson; Archit Harsh; Christopher Archibald (CAMSAP, 2015)

A Distributed Agent for Computational Pool. - Christopher Archibald; Alon Altman; Yoav Shoham (IEEE Trans. Comput. Intell. AI Games, 2016)

A Survey of Security in robotic Systems: Vulnerabilities, Attacks, and solutions. - Christopher Archibald; Luke Schwalm; John E. Ball (Int. J. Robotics Autom., 2017)

Execution Skill Estimation. - Christopher Archibald; Delma Nieves-Rivera (AAMAS, 2018)

Real-time Metacognition Feedback for Introductory Programming Using Machine Learning. - Phyllis J. Beck; Mahnas Jean Mohammadi-Aragh; Christopher Archibald; Bryan A. Jones; Amy Barton (FIE, 2018)

Bayesian Execution Skill Estimation. - Christopher Archibald; Delma Nieves-Rivera (AAAI, 2019)

Model AI Assignments 2019. - 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; et al. (AAAI, 2019)

Monte Carlo Skill Estimation for Darts. - Thomas Miller; Christopher Archibald (SSCI, 2021)

A Deductive Agent Hierarchy: Strategic Reasoning in Codenames. - Joseph Bills; Christopher Archibald (CoG, 2023)

Noisy Communication Modeling for Improved Cooperation in Codenames. - Christopher Archibald; Diego Blaylock (CoG, 2024)

Approximate Estimation of High-Dimension Execution Skill for Dynamic Agents in Continuous Domains. - Delma Nieves-Rivera; Christopher Archibald (ECAI, 2024)

Adapting to Teammates in a Cooperative Language Game. - Christopher Archibald; Spencer Brosnahan (CoRR, 2024)

Estimating Agent Skill in Continuous Action Domains. - Christopher Archibald; Delma Nieves-Rivera (J. Artif. Intell. Res., 2024)

Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy. - Joseph Bills; Christopher Archibald; Diego Blaylock (AAAI, 2025)

Evaluating AI Cooperation with Humans in Codenames. - Christopher Archibald; Koby Cutler; Tyler Barney; Matthew Sheppard; Blake Peterson (CoG, 2025)