Ontology-based Web Agents. - Sean Luke; Lee Spector; David Rager; James A. Hendler (Agents, 1997)

Co-evolving Soccer Softbot Team Coordination with Genetic Programming. - Sean Luke; Charles Hohn; Jonathan Farris; Gary Jackson; James A. Hendler (RoboCup, 1997)

Web Agents That Work. - Sean Luke; James A. Hendler (IEEE Multim., 1997)

Character Design for Soccer Commentary. - Kim Binsted; Sean Luke (RoboCup, 1998)

Coevolving Soccer Softbots. - Sean Luke (AI Mag., 1998)

The Perfect C. elegans Project: An Initial Report. - Hiroaki Kitano; Shugo Hamahashi; Sean Luke (Artif. Life, 1998)

New Directions: Biology: See it Again - For the First Time. - Sean Luke; Shugo Hamahashi; Koji Kyoda; Hiroki Ueda (IEEE Intell. Syst., 1998)

Applying Ontology to the Web: A Case Study. - Jeff Heflin; James A. Hendler; Sean Luke (IWANN (2), 1999)

Three RoboCup Simulation League Commentator Systems. - Elisabeth André; Kim Binsted; Kumiko Tanaka-Ishii; Sean Luke; Gerd Herzog; Thomas Rist (AI Mag., 2000)

Two fast tree-creation algorithms for genetic programming. - Sean Luke (IEEE Trans. Evol. Comput., 2000)

Guaranteeing Coevolutionary Objective Measures. - Sean Luke; R. Paul Wiegand (FOGA, 2002)

Is The Perfect The Enemy Of The Good? - Sean Luke; Liviu Panait (GECCO, 2002)

Lexicographic Parsimony Pressure. - Sean Luke; Liviu Panait (GECCO, 2002)

A Comparison Of Two Competitive Fitness Functions. - Liviu Panait; Sean Luke (GECCO, 2002)

Fighting Bloat with Nonparametric Parsimony Pressure. - Sean Luke; Liviu Panait (PPSN, 2002)

SHOE: A Blueprint for the Semantic Web. - Jeff Heflin; James A. Hendler; Sean Luke (Spinning the Semantic Web, 2003)

Population Implosion in Genetic Programming. - Sean Luke; Gabriel Catalin Balan; Liviu Panait (GECCO, 2003)

Methods for Evolving Robust Programs. - Liviu Panait; Sean Luke (GECCO, 2003)

Improving Coevolutionary Search for Optimal Multiagent Behaviors. - Liviu Panait; R. Paul Wiegand; Sean Luke (IJCAI, 2003)

Modification Point Depth and Genome Growth in Genetic Programming. - Sean Luke (Evol. Comput., 2003)

A Pheromone-Based Utility Model for Collaborative Foraging. - Liviu Panait; Sean Luke (AAMAS, 2004)

A Demonstration of Neural Programming Applied to Non-Markovian Problems. - Gabriel Catalin Balan; Sean Luke (GECCO (2), 2004)

Alternative Bloat Control Methods. - Liviu Panait; Sean Luke (GECCO (2), 2004)

A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. - Liviu Panait; R. Paul Wiegand; Sean Luke (GECCO (1), 2004)

A Visual Demonstration of Convergence Properties of Cooperative Coevolution. - Liviu Panait; R. Paul Wiegand; Sean Luke (PPSN, 2004)

Time-dependent Collaboration Schemes for Cooperative Coevolutionary Algorithms. - Liviu Panait; Sean Luke (AAAI Fall Symposium: Coevolutionary and Coadaptive Systems, 2005)

Tunably decentralized algorithms for cooperative target observation. - Sean Luke; Keith Sullivan; Liviu Panait; Gabriel Catalin Balan (AAMAS, 2005)

Evolutionary computation and the c-value paradox. - Sean Luke (GECCO, 2005)

An Overview of Cooperative and Competitive Multiagent Learning. - Pieter Jan't Hoen; Karl Tuyls; Liviu Panait; Sean Luke; Johannes A. La Poutré (LAMAS, 2005)

Cooperative Multi-Agent Learning: The State of the Art. - Liviu Panait; Sean Luke (Auton. Agents Multi Agent Syst., 2005)

Reports on the 2004 AAAI Fall Symposia. - Nicholas L. Cassimatis; Sean Luke; Simon D. Levy; Ross W. Gayler; Pentti Kanerva; Chris Eliasmith; Timothy W. Bickmore; Alan C. Schultz; Randall Davis; James A. Landay; Robert C. Miller; Eric Saund; et al. (AI Mag., 2005)

MASON: A Multiagent Simulation Environment. - Sean Luke; Claudio Cioffi-Revilla; Liviu Panait; Keith Sullivan; Gabriel Catalin Balan (Simul., 2005)

History-based traffic control. - Gabriel Catalin Balan; Sean Luke (AAMAS, 2006)

Selecting informative actions improves cooperative multiagent learning. - Liviu Panait; Sean Luke (AAMAS, 2006)

Lenient learners in cooperative multiagent systems. - Liviu Panait; Keith Sullivan; Sean Luke (AAMAS, 2006)

Can good learners always compensate for poor learners? - Keith Sullivan; Liviu Panait; Gabriel Catalin Balan; Sean Luke (AAMAS, 2006)

Archive-based cooperative coevolutionary algorithms. - Liviu Panait; Sean Luke; Joseph F. Harrison (GECCO, 2006)

Agent-Based Modeling Simulation of Social Adaptation and Long-Term Change in Inner Asia. - Claudio Cioffi-Revilla; Sean Luke; Dawn Cassandra Parker; J. Daniel Rogers; William W. Fitzhugh; William Honeychurch; Bruno Fröhlich; Paula De Priest; Chunag Amartuvshin (WCSS, 2006)

A Comparison of Bloat Control Methods for Genetic Programming. - Sean Luke; Liviu Panait (Evol. Comput., 2006)

Biasing Coevolutionary Search for Optimal Multiagent Behaviors. - Liviu Panait; Sean Luke; R. Paul Wiegand (IEEE Trans. Evol. Comput., 2006)

Finding interesting things. - Sean Luke; Deepankar Sharma; Gabriel Catalin Balan (GECCO, 2007)

Evolving kernels for support vector machine classification. - Keith Sullivan; Sean Luke (GECCO, 2007)

Opportunistic evolution: efficient evolutionary computation on large-scale computational grids. - Keith Sullivan; Sean Luke; Curt Larock; Sean Cier; Steven Armentrout (GECCO (Companion), 2008)

Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective. - Liviu Panait; Karl Tuyls; Sean Luke (J. Mach. Learn. Res., 2008)

Cooperative coevolution and univariate estimation of distribution algorithms. - Christopher Vo; Liviu Panait; Sean Luke (FOGA, 2009)

Collaborative foraging using beacons. - Brian Hrolenok; Sean Luke; Keith Sullivan; Christopher Vo (AAMAS, 2010)

Do multiple trials help Univariate methods? - Daniel Rothman; Sean Luke; Keith Sullivan (IEEE Congress on Evolutionary Computation, 2011)

Large scale empirical analysis of cooperative coevolution. - Sean Luke; Keith Sullivan; Faisal Abidi (GECCO (Companion), 2011)

Long-term fairness with bounded worst-case losses. - Gabriel Catalin Balan; Dana Richards; Sean Luke (Auton. Agents Multi Agent Syst., 2011)

Learning from demonstration with swarm hierarchies. - Keith Sullivan; Sean Luke (AAMAS, 2012)

Multiobjective optimization of co-clustering ensembles. - Francesco Gullo; A. K. M. Khaled Ahsan Talukder; Sean Luke; Carlotta Domeniconi; Andrea Tagarelli (GECCO (Companion), 2012)

Genetic programming needs better benchmarks. - James McDermott; David Robert White; Sean Luke; Luca Manzoni; Mauro Castelli; Leonardo Vanneschi; Wojciech Jaskowski; Krzysztof Krawiec; Robin Harper; Kenneth A. De Jong; Una-May O'Reilly (GECCO, 2012)

Real-Time Training of Team Soccer Behaviors. - Keith Sullivan; Sean Luke (RoboCup, 2012)

Is the meta-EA a viable optimization method? - Sean Luke; A. K. M. Khaled Ahsan Talukder (GECCO, 2013)

Unlearning from Demonstration. - Keith Sullivan; Ahmed ElMolla; Bill Squires; Sean Luke (IJCAI, 2013)

Better GP benchmarks: community survey results and proposals. - David Robert White; James McDermott; Mauro Castelli; Luca Manzoni; Brian W. Goldman; Gabriel Kronberger; Wojciech Jaskowski; Una-May O'Reilly; Sean Luke (Genet. Program. Evolvable Mach., 2013)

Towards Rapid Multi-robot Learning from Demonstration at the RoboCup Competition. - David Freelan; Drew Wicke; Keith Sullivan; Sean Luke (RoboCup, 2014)

Swarm Robot Foraging with Wireless Sensor Motes. - Katherine Russell; Michael Schader; Kevin Andrea; Sean Luke (AAMAS, 2015)

Bounty Hunters and Multiagent Task Allocation. - Drew Wicke; David Freelan; Sean Luke (AAMAS, 2015)

Ant Geometers. - Bryan Hoyle; Katherine Russell; Sean Luke (ALIFE, 2016)

Lenient Learning in Independent-Learner Stochastic Cooperative Games. - Ermo Wei; Sean Luke (J. Mach. Learn. Res., 2016)

Bounty Hunting and Human-Agent Group Task Allocation. - Drew Wicke; Sean Luke (AAAI Fall Symposia, 2017)

ECJ then and now. - Sean Luke (GECCO (Companion), 2017)

LfD Training of Heterogeneous Formation Behaviors. - William G. Squires; Sean Luke (AAAI Spring Symposia, 2018)

Multiagent Soft Q-Learning. - Ermo Wei; Drew Wicke; David Freelan; Sean Luke (AAAI Spring Symposia, 2018)

Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. - Ermo Wei; Drew Wicke; Sean Luke (AAAI Spring Symposia, 2018)

Dynamic Traveling Repairmen Bounty Hunters. - Drew Wicke; Ermo Wei; Sean Luke (AAMAS, 2018)

Scalability in the MASON Multi-Agent Simulation System. - Haoliang Wang; Ermo Wei; Robert Simon; Sean Luke; Andrew T. Crooks; David Freelan; Carmine Spagnuolo (DS-RT, 2018)

The MASON Simulation Toolkit: Past, Present, and Future. - Sean Luke; Robert Simon; Andrew T. Crooks; Haoliang Wang; Ermo Wei; David Freelan; Carmine Spagnuolo; Vittorio Scarano; Gennaro Cordasco; Claudio Cioffi-Revilla (MABS, 2018)

Multiagent Adversarial Inverse Reinforcement Learning. - Ermo Wei; Drew Wicke; Sean Luke (AAMAS, 2019)

Stochastic Synthesizer Patch Exploration in Edisyn. - Sean Luke (EvoMUSART, 2019)

ECJ at 20: toward a general metaheuristics toolkit. - Eric O. Scott; Sean Luke (GECCO (Companion), 2019)

Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors. - Matteo D'Auria; Eric O. Scott; Rajdeep Singh Lather; Javier Hilty; Sean Luke (AAMAS, 2020)

Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization. - Matteo D'Auria; Eric O. Scott; Rajdeep Singh Lather; Javier Hilty; Sean Luke (PAAMS, 2020)

Planner-Guided Robot Swarms. - Michael Schader; Sean Luke (PAAMS, 2020)

Scalable Heterogeneous Multiagent Learning from Demonstration. - William G. Squires; Sean Luke (PAAMS, 2020)

Fully Decentralized Planner-Guided Robot Swarms. - Michael Schader; Sean Luke (PAAMS, 2021)

Fully Decentralized Planner-Guided Robot Swarm Demonstration. - Michael Schader; Sean Luke (PAAMS, 2021)

Retrograde Behavior Mitigation in Planner-Guided Robot Swarms. - Michael Schader; Sean Luke (PAAMS, 2022)

Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents. - Abhisekh Rana; Hamdi Kavak; Andrew T. Crooks; Sean Luke; Carlotta Domeniconi; Jim Jones (SBP-BRiMS, 2022)

Hybrid Agent-Based and Discrete Event Simulation in Mason. - Giuseppe D'Ambrosio; Sean Luke (ANNSIM, 2023)

Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains. - Raj Patel; Abhisekh Rana; Sean Luke; Carlotta Domeniconi; Hamdi Kavak; Jim Jones; Andrew T. Crooks (ANNSIM, 2023)

Computational Creativity as Dynamic, Multiobjective, Multiagent Optimization. - Sean Luke (ICCC, 2023)

Co-creative Music Synthesizer Patch Exploration. - Sean Luke; Victoria Violet Hoyle (ICCC, 2023)

Exploring Planner-Guided Swarms Running on Real Robots. - Michael Schader; Sean Luke (PAAMS, 2023)

Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. - Ricardo Vega; Kevin Zhu; Sean Luke; Maryam Parsa; Cameron Nowzari (CoRR, 2023)

A Hierarchical, Modular Music Sequencer. - Sean Luke; Filippo Carnovalini (Audio Mostly Conference, 2024)