Sean Luke

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 27

Top Topics

Bayesian Nonparametric

Multiagent Learning

Top Venues

AAAI Spring Symposia

Publications

Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. CoRR (2023)
Raj Patel, Abhisekh Rana, Sean Luke, Carlotta Domeniconi, Hamdi Kavak, Jim Jones, Andrew Crooks
Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains. ANNSIM (2023)
Michael Schader, Sean Luke
Exploring Planner-Guided Swarms Running on Real Robots. PAAMS (2023)
Giuseppe D'Ambrosio, Sean Luke
Hybrid Agent-Based and Discrete Event Simulation in Mason. ANNSIM (2023)
Abhisekh Rana, Hamdi Kavak, Andrew Crooks, Sean Luke, Carlotta Domeniconi, Jim Jones
Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents. SBP-BRiMS (2022)
Michael Schader, Sean Luke
Retrograde Behavior Mitigation in Planner-Guided Robot Swarms. PAAMS (2022)
Michael Schader, Sean Luke
Fully Decentralized Planner-Guided Robot Swarms. PAAMS (2021)
Michael Schader, Sean Luke
Fully Decentralized Planner-Guided Robot Swarm Demonstration. PAAMS (2021)
William G. Squires, Sean Luke
Scalable Heterogeneous Multiagent Learning from Demonstration. PAAMS (2020)
Michael Schader, Sean Luke
Planner-Guided Robot Swarms. PAAMS (2020)
Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke
Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors. AAMAS (2020)
Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke
Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization. PAAMS (2020)
Ermo Wei, Drew Wicke, Sean Luke
Multiagent Adversarial Inverse Reinforcement Learning. AAMAS (2019)
Eric O. Scott, Sean Luke
ECJ at 20: toward a general metaheuristics toolkit. GECCO (Companion) (2019)
Sean Luke
Stochastic Synthesizer Patch Exploration in Edisyn. EvoMUSART (2019)
Ermo Wei, Drew Wicke, Sean Luke
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. CoRR (2018)
Ermo Wei, Drew Wicke, David Freelan, Sean Luke
Multiagent Soft Q-Learning. CoRR (2018)
Haoliang Wang, Ermo Wei, Robert Simon, Sean Luke, Andrew Crooks, David Freelan, Carmine Spagnuolo
Scalability in the MASON Multi-Agent Simulation System. DS-RT (2018)
Ermo Wei, Drew Wicke, Sean Luke
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. AAAI Spring Symposia (2018)
Ermo Wei, Drew Wicke, David Freelan, Sean Luke
Multiagent Soft Q-Learning. AAAI Spring Symposia (2018)
William G. Squires, Sean Luke
LfD Training of Heterogeneous Formation Behaviors. AAAI Spring Symposia (2018)
Drew Wicke, Ermo Wei, Sean Luke
Dynamic Traveling Repairmen Bounty Hunters. AAMAS (2018)
Sean Luke, Robert Simon, Andrew Crooks, Haoliang Wang, Ermo Wei, David Freelan, Carmine Spagnuolo, Vittorio Scarano, Gennaro Cordasco, Claudio Cioffi-Revilla
The MASON Simulation Toolkit: Past, Present, and Future. MABS (2018)
Sean Luke
ECJ then and now. GECCO (Companion) (2017)
Drew Wicke, Sean Luke
Bounty Hunting and Human-Agent Group Task Allocation. AAAI Fall Symposia (2017)
Bryan Hoyle, Katherine Russell, Sean Luke
Ant Geometers. ALIFE (2016)
Ermo Wei, Sean Luke
Lenient Learning in Independent-Learner Stochastic Cooperative Games. J. Mach. Learn. Res. 17 (2016)
Drew Wicke, David Freelan, Sean Luke
Bounty Hunters and Multiagent Task Allocation. AAMAS (2015)
Katherine Russell, Michael Schader, Kevin Andrea, Sean Luke
Swarm Robot Foraging with Wireless Sensor Motes. AAMAS (2015)
David Freelan, Drew Wicke, Keith Sullivan, Sean Luke
Towards Rapid Multi-robot Learning from Demonstration at the RoboCup Competition. RoboCup (2014)
David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke
Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14 (1) (2013)
Sean Luke, A. K. M. Khaled Ahsan Talukder
Is the meta-EA a viable optimization method? GECCO (2013)
Keith Sullivan, Ahmed ElMolla, Bill Squires, Sean Luke
Unlearning from Demonstration. IJCAI (2013)
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
Genetic programming needs better benchmarks. GECCO (2012)
Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli
Multiobjective optimization of co-clustering ensembles. GECCO (Companion) (2012)
Keith Sullivan, Sean Luke
Real-Time Training of Team Soccer Behaviors. RoboCup (2012)
Keith Sullivan, Sean Luke
Learning from demonstration with swarm hierarchies. AAMAS (2012)
Gabriel Catalin Balan, Dana Richards, Sean Luke
Long-term fairness with bounded worst-case losses. Auton. Agents Multi Agent Syst. 22 (1) (2011)
Sean Luke, Keith Sullivan, Faisal Abidi
Large scale empirical analysis of cooperative coevolution. GECCO (Companion) (2011)
Daniel Rothman, Sean Luke, Keith Sullivan
Do multiple trials help Univariate methods? IEEE Congress on Evolutionary Computation (2011)
Brian Hrolenok, Sean Luke, Keith Sullivan, Christopher Vo
Collaborative foraging using beacons. AAMAS (2010)
Christopher Vo, Liviu Panait, Sean Luke
Cooperative coevolution and univariate estimation of distribution algorithms. FOGA (2009)
Liviu Panait, Karl Tuyls, Sean Luke
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective. J. Mach. Learn. Res. 9 (2008)
Keith Sullivan, Sean Luke, Curt Larock, Sean Cier, Steven Armentrout
Opportunistic evolution: efficient evolutionary computation on large-scale computational grids. GECCO (Companion) (2008)
Sean Luke, Deepankar Sharma, Gabriel Catalin Balan
Finding interesting things. GECCO (2007)
Keith Sullivan, Sean Luke
Evolving kernels for support vector machine classification. GECCO (2007)
Liviu Panait, Keith Sullivan, Sean Luke
Lenient learners in cooperative multiagent systems. AAMAS (2006)
Liviu Panait, Sean Luke, R. Paul Wiegand
Biasing Coevolutionary Search for Optimal Multiagent Behaviors. IEEE Trans. Evol. Comput. 10 (6) (2006)
Claudio Cioffi-Revilla, Sean Luke, Dawn Cassandra Parker, J. Daniel Rogers, William W. Fitzhugh, William Honeychurch, Bruno Fröhlich, Paula De Priest, Chunag Amartuvshin
Agent-Based Modeling Simulation of Social Adaptation and Long-Term Change in Inner Asia. WCSS (2006)
Liviu Panait, Sean Luke
Selecting informative actions improves cooperative multiagent learning. AAMAS (2006)
Liviu Panait, Sean Luke, Joseph F. Harrison
Archive-based cooperative coevolutionary algorithms. GECCO (2006)
Sean Luke, Liviu Panait
A Comparison of Bloat Control Methods for Genetic Programming. Evol. Comput. 14 (3) (2006)
Keith Sullivan, Liviu Panait, Gabriel Catalin Balan, Sean Luke
Can good learners always compensate for poor learners? AAMAS (2006)
Gabriel Catalin Balan, Sean Luke
History-based traffic control. AAMAS (2006)
Liviu Panait, Sean Luke
Time-dependent Collaboration Schemes for Cooperative Coevolutionary Algorithms. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems (2005)
Sean Luke
Evolutionary computation and the c-value paradox. GECCO (2005)
Sean Luke, Claudio Cioffi-Revilla, Liviu Panait, Keith Sullivan, Gabriel Catalin Balan
MASON: A Multiagent Simulation Environment. Simul. 81 (7) (2005)
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, Johannes A. La Poutré
An Overview of Cooperative and Competitive Multiagent Learning. LAMAS (2005)
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel Catalin Balan
Tunably decentralized algorithms for cooperative target observation. AAMAS (2005)
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, Thomas F. Stahovich, Michael L. Littman, Satinder P. Singh, Shlomo Argamon, Shlomo Dubnov
Reports on the 2004 AAAI Fall Symposia. AI Mag. 26 (1) (2005)
Liviu Panait, Sean Luke
Cooperative Multi-Agent Learning: The State of the Art. Auton. Agents Multi Agent Syst. 11 (3) (2005)
Liviu Panait, R. Paul Wiegand, Sean Luke
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. GECCO (1) (2004)
Liviu Panait, Sean Luke
Alternative Bloat Control Methods. GECCO (2) (2004)
Liviu Panait, Sean Luke
A Pheromone-Based Utility Model for Collaborative Foraging. AAMAS (2004)
Liviu Panait, R. Paul Wiegand, Sean Luke
A Visual Demonstration of Convergence Properties of Cooperative Coevolution. PPSN (2004)
Gabriel Catalin Balan, Sean Luke
A Demonstration of Neural Programming Applied to Non-Markovian Problems. GECCO (2) (2004)
Liviu Panait, R. Paul Wiegand, Sean Luke
Improving Coevolutionary Search for Optimal Multiagent Behaviors. IJCAI (2003)
Jeff Heflin, James A. Hendler, Sean Luke
SHOE: A Blueprint for the Semantic Web. Spinning the Semantic Web (2003)
Liviu Panait, Sean Luke
Methods for Evolving Robust Programs. GECCO (2003)
Sean Luke
Modification Point Depth and Genome Growth in Genetic Programming. Evol. Comput. 11 (1) (2003)
Sean Luke, Gabriel Catalin Balan, Liviu Panait
Population Implosion in Genetic Programming. GECCO (2003)
Sean Luke, Liviu Panait
Lexicographic Parsimony Pressure. GECCO (2002)
Sean Luke, R. Paul Wiegand
Guaranteeing Coevolutionary Objective Measures. FOGA (2002)
Liviu Panait, Sean Luke
A Comparison Of Two Competitive Fitness Functions. GECCO (2002)
Sean Luke, Liviu Panait
Fighting Bloat with Nonparametric Parsimony Pressure. PPSN (2002)
Sean Luke, Liviu Panait
Is The Perfect The Enemy Of The Good? GECCO (2002)
Elisabeth André, Kim Binsted, Kumiko Tanaka-Ishii, Sean Luke, Gerd Herzog, Thomas Rist
Three RoboCup Simulation League Commentator Systems. AI Mag. 21 (1) (2000)
Sean Luke
Two fast tree-creation algorithms for genetic programming. IEEE Trans. Evol. Comput. 4 (3) (2000)
Jeff Heflin, James A. Hendler, Sean Luke
Applying Ontology to the Web: A Case Study. IWANN (2) (1999)
Hiroaki Kitano, Shugo Hamahashi, Sean Luke
Project: An Initial Report. Artif. Life 4 (2) (1998)
Sean Luke, Shugo Hamahashi, Koji Kyoda, Hiroki Ueda
New Directions: Biology: See it Again - For the First Time. IEEE Intell. Syst. 13 (5) (1998)
Sean Luke
Coevolving Soccer Softbots. AI Mag. 19 (3) (1998)
Kim Binsted, Sean Luke
Character Design for Soccer Commentary. RoboCup (1998)
Sean Luke, Lee Spector, David Rager, James A. Hendler
Ontology-based Web Agents. Agents (1997)
Sean Luke, James A. Hendler
Web Agents That Work. IEEE Multim. 4 (3) (1997)
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jackson, James A. Hendler
Co-evolving Soccer Softbot Team Coordination with Genetic Programming. RoboCup (1997)