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ORCIDSean Luke
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- affiliation: George Mason University
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2020 – today
- 2024
[c70]Sean Luke
, Filippo Carnovalini:
A Hierarchical, Modular Music Sequencer. Audio Mostly Conference 2024: 429-438- 2023
- [c69]Giuseppe D'Ambrosio, Sean Luke:
Hybrid Agent-Based and Discrete Event Simulation in Mason. ANNSIM 2023: 84-94 - [c68]Raj Patel, Abhisekh Rana, Sean Luke, Carlotta Domeniconi, Hamdi Kavak, Jim Jones, Andrew T. Crooks:
Simulation and Optimization Techniques for the Mitigation of Disruptions to Supply Chains. ANNSIM 2023: 134-145 - [c67]Sean Luke:
Computational Creativity as Dynamic, Multiobjective, Multiagent Optimization. ICCC 2023: 372-376 - [c66]Sean Luke, Victoria Violet Hoyle:
Co-creative Music Synthesizer Patch Exploration. ICCC 2023: 412-416 - [c65]Michael Schader, Sean Luke:
Exploring Planner-Guided Swarms Running on Real Robots. PAAMS 2023: 307-319 - [i3]Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari:
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. CoRR abs/2301.09018 (2023) - 2022
- [c64]Michael Schader, Sean Luke:
Retrograde Behavior Mitigation in Planner-Guided Robot Swarms. PAAMS 2022: 371-384 - [c63]Abhisekh Rana, Hamdi Kavak, Andrew T. Crooks, Sean Luke, Carlotta Domeniconi, Jim Jones:
Mitigation of Optimized Pharmaceutical Supply Chain Disruptions by Criminal Agents. SBP-BRiMS 2022: 13-23 - 2021
- [c62]Michael Schader, Sean Luke:
Fully Decentralized Planner-Guided Robot Swarms. PAAMS 2021: 241-254 - [c61]Michael Schader, Sean Luke:
Fully Decentralized Planner-Guided Robot Swarm Demonstration. PAAMS 2021: 380-384 - 2020
- [c60]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: 1828-1830 - [c59]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: 93-105 - [c58]Michael Schader, Sean Luke:
Planner-Guided Robot Swarms. PAAMS 2020: 224-237 - [c57]William G. Squires, Sean Luke:
Scalable Heterogeneous Multiagent Learning from Demonstration. PAAMS 2020: 264-277
2010 – 2019
- 2019
- [c56]Ermo Wei, Drew Wicke, Sean Luke:
Multiagent Adversarial Inverse Reinforcement Learning. AAMAS 2019: 2265-2266 - [c55]Sean Luke:
Stochastic Synthesizer Patch Exploration in Edisyn. EvoMUSART 2019: 188-200 - [c54]Eric O. Scott, Sean Luke:
ECJ at 20: toward a general metaheuristics toolkit. GECCO (Companion) 2019: 1391-1398 - 2018
- [c53]William G. Squires, Sean Luke:
LfD Training of Heterogeneous Formation Behaviors. AAAI Spring Symposia 2018 - [c52]Ermo Wei, Drew Wicke, David Freelan, Sean Luke:
Multiagent Soft Q-Learning. AAAI Spring Symposia 2018 - [c51]Ermo Wei, Drew Wicke, Sean Luke:
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. AAAI Spring Symposia 2018 - [c50]Drew Wicke, Ermo Wei, Sean Luke:
Dynamic Traveling Repairmen Bounty Hunters. AAMAS 2018: 2121-2123 - [c49]Haoliang Wang, Ermo Wei, Robert Simon, Sean Luke, Andrew T. Crooks, David Freelan, Carmine Spagnuolo:
Scalability in the MASON Multi-Agent Simulation System. DS-RT 2018: 135-144 - [c48]Sean Luke, Robert Simon, Andrew T. 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: 75-86 - [i2]Ermo Wei, Drew Wicke, David Freelan, Sean Luke:
Multiagent Soft Q-Learning. CoRR abs/1804.09817 (2018) - [i1]Ermo Wei, Drew Wicke, Sean Luke:
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space. CoRR abs/1810.09656 (2018) - 2017
- [c47]Drew Wicke, Sean Luke:
Bounty Hunting and Human-Agent Group Task Allocation. AAAI Fall Symposia 2017: 284-287 - [c46]Sean Luke:
ECJ then and now. GECCO (Companion) 2017: 1223-1230 - 2016
- [j16]Ermo Wei, Sean Luke:
Lenient Learning in Independent-Learner Stochastic Cooperative Games. J. Mach. Learn. Res. 17: 84:1-84:42 (2016) - [c45]Bryan Hoyle, Katherine Russell, Sean Luke:
Ant Geometers. ALIFE 2016: 100-107 - 2015
- [c44]Katherine Russell, Michael Schader, Kevin Andrea, Sean Luke:
Swarm Robot Foraging with Wireless Sensor Motes. AAMAS 2015: 287-295 - [c43]Drew Wicke, David Freelan, Sean Luke:
Bounty Hunters and Multiagent Task Allocation. AAMAS 2015: 387-394 - [e1]Luís Almeida, Jianmin Ji, Gerald Steinbauer, Sean Luke:
RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, Hefei, China, July 23, 2015]. Lecture Notes in Computer Science 9513, Springer 2015, ISBN 978-3-319-29338-7 [contents] - 2014
- [c42]David Freelan, Drew Wicke, Keith Sullivan, Sean Luke:
Towards Rapid Multi-robot Learning from Demonstration at the RoboCup Competition. RoboCup 2014: 369-382 - 2013
- [j15]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): 3-29 (2013) - [c41]Sean Luke, A. K. M. Khaled Ahsan Talukder:
Is the meta-EA a viable optimization method? GECCO 2013: 1533-1540 - [c40]Keith Sullivan, Ahmed ElMolla, Bill Squires, Sean Luke:
Unlearning from Demonstration. IJCAI 2013: 1699-1705 - 2012
- [c39]Keith Sullivan, Sean Luke:
Learning from demonstration with swarm hierarchies. AAMAS 2012: 197-204 - [c38]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: 791-798 - [c37]Francesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli:
Multiobjective optimization of co-clustering ensembles. GECCO (Companion) 2012: 1495-1496 - [c36]Keith Sullivan, Sean Luke:
Real-Time Training of Team Soccer Behaviors. RoboCup 2012: 356-367 - 2011
- [j14]Gabriel Catalin Balan, Dana Richards, Sean Luke:
Long-term fairness with bounded worst-case losses. Auton. Agents Multi Agent Syst. 22(1): 43-63 (2011) - [c35]Daniel Rothman, Sean Luke, Keith Sullivan:
Do multiple trials help Univariate methods? IEEE Congress on Evolutionary Computation 2011: 2391-2398 - [c34]Sean Luke, Keith Sullivan, Faisal Abidi:
Large scale empirical analysis of cooperative coevolution. GECCO (Companion) 2011: 151-152 - 2010
- [c33]Brian Hrolenok, Sean Luke, Keith Sullivan, Christopher Vo:
Collaborative foraging using beacons. AAMAS 2010: 1197-1204
2000 – 2009
- 2009
- [c32]Christopher Vo, Liviu Panait, Sean Luke:
Cooperative coevolution and univariate estimation of distribution algorithms. FOGA 2009: 141-150 - 2008
- [j13]Liviu Panait, Karl Tuyls, Sean Luke:
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective. J. Mach. Learn. Res. 9: 423-457 (2008) - [c31]Keith Sullivan, Sean Luke, Curt Larock, Sean Cier, Steven Armentrout:
Opportunistic evolution: efficient evolutionary computation on large-scale computational grids. GECCO (Companion) 2008: 2227-2232 - 2007
- [c30]Sean Luke, Deepankar Sharma, Gabriel Catalin Balan:
Finding interesting things. GECCO 2007: 86-93 - [c29]Keith Sullivan, Sean Luke:
Evolving kernels for support vector machine classification. GECCO 2007: 1702-1707 - 2006
- [j12]Sean Luke, Liviu Panait:
A Comparison of Bloat Control Methods for Genetic Programming. Evol. Comput. 14(3): 309-344 (2006) - [j11]Liviu Panait, Sean Luke, R. Paul Wiegand:
Biasing Coevolutionary Search for Optimal Multiagent Behaviors. IEEE Trans. Evol. Comput. 10(6): 629-645 (2006) - [c28]Gabriel Catalin Balan, Sean Luke:
History-based traffic control. AAMAS 2006: 616-621 - [c27]Liviu Panait, Sean Luke:
Selecting informative actions improves cooperative multiagent learning. AAMAS 2006: 760-766 - [c26]Liviu Panait, Keith Sullivan, Sean Luke:
Lenient learners in cooperative multiagent systems. AAMAS 2006: 801-803 - [c25]Keith Sullivan, Liviu Panait, Gabriel Catalin Balan, Sean Luke:
Can good learners always compensate for poor learners? AAMAS 2006: 804-806 - [c24]Liviu Panait, Sean Luke, Joseph F. Harrison:
Archive-based cooperative coevolutionary algorithms. GECCO 2006: 345-352 - [c23]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: 189-200 - 2005
- [j10]Liviu Panait, Sean Luke:
Cooperative Multi-Agent Learning: The State of the Art. Auton. Agents Multi Agent Syst. 11(3): 387-434 (2005) - [j9]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 Singh, Shlomo Argamon, Shlomo Dubnov:
Reports on the 2004 AAAI Fall Symposia. AI Mag. 26(1): 98-102 (2005) - [j8]Sean Luke, Claudio Cioffi-Revilla, Liviu Panait, Keith Sullivan, Gabriel Catalin Balan:
MASON: A Multiagent Simulation Environment. Simul. 81(7): 517-527 (2005) - [c22]Liviu Panait, Sean Luke:
Time-dependent Collaboration Schemes for Cooperative Coevolutionary Algorithms. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems 2005: 18-25 - [c21]Sean Luke, Keith Sullivan, Liviu Panait, Gabriel Catalin Balan:
Tunably decentralized algorithms for cooperative target observation. AAMAS 2005: 911-917 - [c20]Sean Luke:
Evolutionary computation and the c-value paradox. GECCO 2005: 91-97 - [c19]Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, Johannes A. La Poutré:
An Overview of Cooperative and Competitive Multiagent Learning. LAMAS 2005: 1-46 - 2004
- [c18]Liviu Panait, Sean Luke:
A Pheromone-Based Utility Model for Collaborative Foraging. AAMAS 2004: 36-43 - [c17]Gabriel Catalin Balan, Sean Luke:
A Demonstration of Neural Programming Applied to Non-Markovian Problems. GECCO (2) 2004: 422-433 - [c16]Liviu Panait, R. Paul Wiegand, Sean Luke:
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. GECCO (1) 2004: 573-584 - [c15]Liviu Panait, Sean Luke:
Alternative Bloat Control Methods. GECCO (2) 2004: 630-641 - [c14]Liviu Panait, R. Paul Wiegand, Sean Luke:
A Visual Demonstration of Convergence Properties of Cooperative Coevolution. PPSN 2004: 892-901 - 2003
- [j7]Sean Luke:
Modification Point Depth and Genome Growth in Genetic Programming. Evol. Comput. 11(1): 67-106 (2003) - [c13]Jeff Heflin, James A. Hendler, Sean Luke:
SHOE: A Blueprint for the Semantic Web. Spinning the Semantic Web 2003: 29-63 - [c12]Sean Luke, Gabriel Catalin Balan, Liviu Panait:
Population Implosion in Genetic Programming. GECCO 2003: 1729-1739 - [c11]Liviu Panait, Sean Luke:
Methods for Evolving Robust Programs. GECCO 2003: 1740-1751 - [c10]Liviu Panait, R. Paul Wiegand, Sean Luke:
Improving Coevolutionary Search for Optimal Multiagent Behaviors. IJCAI 2003: 653-660 - 2002
- [c9]Sean Luke, R. Paul Wiegand:
Guaranteeing Coevolutionary Objective Measures. FOGA 2002: 237-252 - [c8]Liviu Panait, Sean Luke:
A Comparison Of Two Competitive Fitness Functions. GECCO 2002: 503-511 - [c7]Sean Luke, Liviu Panait:
Is The Perfect The Enemy Of The Good? GECCO 2002: 820-828 - [c6]Sean Luke, Liviu Panait:
Lexicographic Parsimony Pressure. GECCO 2002: 829-836 - [c5]Sean Luke, Liviu Panait:
Fighting Bloat with Nonparametric Parsimony Pressure. PPSN 2002: 411-421 - 2000
- [j6]Elisabeth André, Kim Binsted, Kumiko Tanaka-Ishii, Sean Luke, Gerd Herzog, Thomas Rist:
Three RoboCup Simulation League Commentator Systems. AI Mag. 21(1): 57-66 (2000) - [j5]Sean Luke:
Two fast tree-creation algorithms for genetic programming. IEEE Trans. Evol. Comput. 4(3): 274-283 (2000)
1990 – 1999
- 1999
- [c4]Jeff Heflin, James A. Hendler, Sean Luke:
Applying Ontology to the Web: A Case Study. IWANN (2) 1999: 715-724 - 1998
- [j4]Sean Luke:
Coevolving Soccer Softbots. AI Mag. 19(3): 54 (1998) - [j3]Hiroaki Kitano, Shugo Hamahashi, Sean Luke:
The Perfect C. elegans Project: An Initial Report. Artif. Life 4(2): 141-156 (1998) - [j2]Sean Luke, Shugo Hamahashi, Koji Kyoda, Hiroki Ueda:
New Directions: Biology: See it Again - For the First Time. IEEE Intell. Syst. 13(5): 6-8 (1998) - [c3]Kim Binsted, Sean Luke:
Character Design for Soccer Commentary. RoboCup 1998: 22-33 - 1997
- [j1]Sean Luke, James A. Hendler:
Web Agents That Work. IEEE Multim. 4(3): 76-80 (1997) - [c2]Sean Luke, Lee Spector, David Rager, James A. Hendler:
Ontology-based Web Agents. Agents 1997: 59-66 - [c1]Sean Luke, Charles Hohn, Jonathan Farris, Gary Jackson, James A. Hendler:
Co-evolving Soccer Softbot Team Coordination with Genetic Programming. RoboCup 1997: 398-411
Coauthor Index
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