Dissertation

Adrian K. Agogino. Design and Control of Large Collections of Learning Agents. Ph. D. Dissertation, Department of Electrical and Computer Engineering, The University of Texas at Austin, 2003. [pdf]

Master's Thesis

Adrian K. Agogino. Interactive Visualization of Radial Basis Function Networks. Master's Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin, 1999. [pdf]

Selected Peer-reviewed Publications for Adrian Agogino

(more details on publications and downloads available at http://ic.arc.nasa.gov/people/kagan/publications/sort_date.html)
  1. Handling Communiction Restrictions and Team Formation in Congestion Games.  A. K. Agogino and K. Tumer. Journal of Autonous Agents and Multi Agent Systems, 2006. to appear

  2. QUICR-learning for Multi-Agent Coordination. A. Agogino and K. Tumer. In Proceedings of the 21st National Conference on Artificial Intelligence, Boston, MA, July 2006.

  3. Distributed Evaluation Functions for Fault Tolerant Multi Rover Systems. A. Agogino and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Seattle, WA, July 2006.

  4. Efficient Agent-Based Cluster Ensembles. A. Agogino and K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 2006. to appear

  5. Entropy Based Anomaly Detection Applied to Space Shuttle Main Engines. A. Agogino and K. Tumer. In Proceedings of the IEEE Aerospace Conference, Big Sky, MO, March 2006.

  6. Efficient Agent-Based Models for Non-Genomic Evolution. N. Gupta, A. Agogino, and K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 2006. to appear

  7. Efficient Reward Functions for Adaptive Multi-Rover Systems. K. Tumer and A. K. Agogino. In K. Tuyls, P. Jan't Hoen, S. Sen, and K. Verbeeck, editors, Learning and Adaptation in Multi Agent Systems, Lecture notes in AI, Springer, 2006. to appear

  8. Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments. K. Tumer and A. K. Agogino. In S. Yang, editors, Evolutionary Computation in Dynamic and Uncertain Environments, Springer, 2006. to appear

  9. Multi Agent Reward Analysis for Learning in Noisy Domains. A. Agogino and K. Tumer. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Utrecht, Netherlands, July 2005.

  10. Reinforcement Learning in Large Multi-agent Systems. A. Agogino and K. Tumer. In AAMAS-05 Workshop on Coordination of Large Scale Multi-Agent Systems, Utrecht, Netherlands, July 2005.

  11. A Distributed and Adaptive Health and Mission Management Architecture. K. Tumer, S. Uckun, and A. Agogino. In Integrated Systems Health Managemet Conference, Cincinati, OH, August 2005. extended abstract

  12. A. Agogino and K. Tumer. Multi-Agent Reward Analysis for Learning in Noisy . In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Utrecht, Netherlands, July 2005. [pdf]

  13. K. Tumer and A. Agogino. Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005), Washington DC, June 2005. [pdf]

  14. A. Agogino, K. Tumer R. Miikkulainen. Efficient Credit Assignment through Evaluation Function Decomposition. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005), Seattle, Washington DC, June 2005. [pdf]

  15. Complexity Signatures for System Health Monitoring. K. Tumer and A. Agogino. In Proceedings of the IEEE Aerospace Conference, Big Sky, MO, March 2005.

  16. J. S. Sandhu and A. M. Agogino and A. K. Agogino. Wireless Sensor Networks for Commercial Lighting Control: Decision Making with Multi-agent Systems. In Proceedings of the AAAI-04 Workshop on Sensor Networks, San Jose, CA, July 2004. [pdf]

  17. K. Tumer and A. Agogino. Overcoming Communication Restrictions in Collectives. In Proceedings of the Intl. Joint Conf. on Neural Networks, Budapest, Hungary, July 2004. [pdf]

  18. A. Agogino and K. Tumer. Unifying Temporal and Structural Credit Assignment Problems. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, NY, July 2004. [pdf]

  19. K. Tumer and A. Agogino. Time-Extended Policies in Multi-Agent Reinforcement Learning. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, NY, July 2004. [pdf]

  20. A. Agogino and K. Tumer. Efficient Evaluation Functions for Multi-Rover Systems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Seattle, WA, June 2004. [pdf]

  21. A. Agogino and R. Miikkulainen. Efficient Allele Fitness Assignment with Self-organizing Multi-agent System. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program, Seattle, WA, June 2004. [pdf]

  22. A. Agogino and K. Tumer. Team formation and communication restrictions in collectives. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, July 2003. [pdf]

  23. A. Agogino and J. Ghosh. Increasing pagerank through reinforcement learning. In Proceedings of Intelligent Engineering Systems Through Artificial Neural Networks, volume 12, pages 27-32, St. Louis, Missouri, Nov 2002. ASME Press.
    24. [pdf]
  24. K. Tumer, A. Agogino, and D. Wolpert. Learning sequences of actions in collectives of autonomous agents. In Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, pages 378-385, Bologna, Italy, July 2002. [pdf]

  25. A. Agogino, J. Ghosh, S. J. Perantonis, V. Virvilis, S. Petridis, and P. Lisboa. The role of multiple, linear-projection based visualization techniques in rbf-based classification of high dimensional data. In Intl. Joint Conf. on Neural Networks, Como, Italy, July 2000. [pdf]

  26. A. Agogino, K. Stanley, and R. Miikkulainen. Online interactive neuroevolution. Neural Processing Letters, 11:29-38, 2000. [pdf]

  27. A. Agogino and J. Ghosh. Visualization of RBF networks. In Intl. Joint Conf. on Neural Networks, Washington, DC, July 1999. [pdf]