BOBBY D. BRYANT

Assistant Professor Department of Computer Science & Engineering       College of Engineering            University of Nevada, Reno Director,       Neuroevolution and Behavior Laboratory       CCRC Agent Modeling Laboratory

Office:    SEM 206 Phone:    1-775-784-7593 Fax:    1-775-784-1877 E-mail:    bdbryant "at" cse.unr.edu P-mail:    University of Nevada, Reno    Mail Stop 171   Reno, NV 89557-0148

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This is the most important thing on this page:

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You guessed it:   This page is – and always will be – under construction.

Please report broken links to bdbryant "at" cse.unr.edu.

For today we have...

• Research
  • Research Sites
  • Publications
  • Other Talks
  • Symposia, Workshops, and Special Sessions
  • Useful Links
• Classes

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Research

CV [PDF]

Find below:

• Research Sites
• Publications
• Other Talks
• Symposia, Workshops, and Special Sessions
• Useful Links

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Research Sites:

• My Neuroevolution and Behavior Laboratory (NEBL)
• My CCRC Agent Modeling Laboratory (CAML)
• The UNR CSE Evolutionary Computation Systems Laboratory (ECSL)
• Other laboratories within the Department of Computer Science and Engineering (CSE) at UNR
• The IEEE CIS Task Force on Real-Time Strategy Games (RTSG)
• The IEEE CIS Task Force on Player Satisfaction Modeling

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Publications:

• Watermark Embedder Optimization for 3D Mesh Objects using Support Vector Machine

  Rakhi C. Motwani, Bobby D. Bryant, and Frederick C. Harris Jr. (2010). Watermark Embedder Optimization for 3D Mesh Objects using Support Vector Machine. To appear in Proceedings of the 2010 International Conference on Signal Acquisition and Processing (ICSAP 2010). Piscataway, NJ: IEEE Press.

• Backpropagation without Human Supervision for Visual Control in Quake II

  Matt Parker and Bobby D. Bryant (2009). Backpropagation without Human Supervision for Visual Control in Quake II. Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games (CIG'09), pp. 287-293. Piscataway, NJ: IEEE Press.

• Lamarckian Neuroevolution for Visual Control in the Quake II Environment

  Matt Parker and Bobby D. Bryant (2009). Lamarckian Neuroevolution for Visual Control in the Quake II Environment. Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC 2009), pp. 2630-2637. Piscataway, NJ: IEEE Press.

• Visual Control in Quake II with a Cyclic Controller

  Matt Parker and Bobby D. Bryant (2008). Visual Control in Quake II with a Cyclic Controller. Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games (CIG'08), pp. 151-158. Piscataway, NJ: IEEE Press.

• Neuro-visual Control in the Quake II Game Engine

  Matt Parker and Bobby D. Bryant (2008). Neuro-visual Control in the Quake II Game Engine. Proceedings of the 2008 International Joint Conference on Neural Networks (IJCNN 2008), pp. 3827-3832. Piscataway, NJ: IEEE Press.

• Neuro-evolving Maintain-Station Behavior for Realistically Simulated Boats

  Nathan A. Penrod, David Carr, Sushil Louis, and Bobby D. Bryant (2008). Neuro-evolving Maintain-Station Behavior for Realistically Simulated Boats. Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC 2008), pp. 3326-3332. Piscataway, NJ: IEEE Press.

• Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution

  Bobby D. Bryant and Risto Miikkulainen (2007). Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution. Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07), pp. 801-808. Menlo Park, CA: AAAI Press.

• Evolving Stochastic Controller Networks for Intelligent Game Agents   [PDF]

  Bobby D. Bryant and Risto Miikkulainen (2006). Evolving Stochastic Controller Networks for Intelligent Game Agents. Proceedings of the 2006 Congress on Evolutionary Computation (CEC 2006), pp. 1007-1014. Piscataway, NJ: IEEE Press.

• Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents   [PDF]

  Bobby D. Bryant and Risto Miikkulainen (2006). Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents. Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG'06), pp. 90-97. Piscataway, NJ: IEEE Press. Best Student Paper.

• Computational Intelligence in Games   [PDF]

  Miikkulainen, R., Bryant, B. D., Cornelius, R., Karpov, I. V., Stanley, K. O., and Yong, C. H. (2006). Computational Intelligence in Games. In Yen, G. Y. and Fogel, D. B. (editors), Computational Intelligence: Principles and Practice, pp. 155-191. IEEE Computational Intelligence Society.

• Real-Time Evolution of Neural Networks in the NERO Video Game   [PDF]

  Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, and Risto Miikkulainen (2006). Real-Time Evolution of Neural Networks in the NERO Video Game. Proceedings of the Twenty-First National Conference in Artificial Intelligence (AAAI-06), pp. 1671-1674. Menlo Park, CA: AAAI Press.

• Evolving Visibly Intelligent Behavior for Embedded Game Agents   [PDF]

  Bryant, Bobby D. (2006). Evolving Visibly Intelligent Behavior for Embedded Game Agents. PhD thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX. (Formatted as UT CS Technical Report AI-06-334.)

• Real-time Neuroevolution in the NERO Video Game   [PDF]

  Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2005). Real-time Neuroevolution in the NERO Video Game. IEEE Transactions on Evolutionary Computation, Vol. 9, No. 6, pp. 653-668. Piscataway, NJ: IEEE Press.

• Evolving Neural Network Agents in the NERO Video Game   [PDF]

  Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2005). Evolving Neural Network Agents in the NERO Video Game. Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), pp. 182-189. Piscataway, NJ: IEEE Press. Best Paper.

• Neuroevolution for Adaptive Teams   [PDF]

  Bobby D. Bryant and Risto Miikkulainen (2003). Neuroevolution for Adaptive Teams. Proceedings of the 2003 Congress on Evolutionary Computation (CEC'03), Vol. 3, pp. 2194-2201. Piscataway, NJ: IEEE Press.

• From Word Stream to Gestalt: A Direct Semantic Parse for Complex Sentences   [PDF]

  Bobby D. Bryant and Risto Miikkulainen (2001). From Word Stream to Gestalt: A Direct Semantic Parse for Complex Sentences. AI Technical Report TR-AI98-274, Department of Computer Sciences, The University of Texas at Austin.

• Evolving Adaptive Neural Networks with and without Adaptive Synapses   [PDF]

  Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen (2003). Evolving Adaptive Neural Networks with and without Adaptive Synapses. Proceedings of the 2003 Congress on Evolutionary Computation (CEC'03), Vol. 4, pp. 2557-2564. Piscataway, NJ: IEEE Press.

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Other Talks:

• A "Second Life" in Classroom Management Training? Enhancing Culturally Relevant Classroom Management Knowledge in the Virtual World of Second Life
  Symposium on Gaming and Virtual Worlds, 2009 Annual Meeting of the American Educational Research Association, San Diego, California. April 14, 2009.
  (Co-Presentation with Jennifer Mahon, Department of Curriculum, Teaching, and Learning, University of Nevada, Reno.)
• Inductive Agent Modeling in Games
  CIG 2008 Tutorial, University of Western Australia, Perth. December 15, 2008.
• Policy Induction with Lamarckian Neuroevolution
  Nevada EPSCoR Workshop on Behavior Analysis for Artificial and Simulated Agents, Reno, Nevada. November 2, 2007.
• Visibly Intelligent Agents for Games and Simulators: Creating Adaptive Teams with Example-Guided Evolution
  Computer Science and Engineering colloquium, University of Nevada, Reno. Sponsored and organized by the IGT Distinguished Speakers Series. May 4, 2006.
• Neuroevolution for Adaptive Teams: Learning Heterogeneous Behavior in Homogeneous Multi-Agent Systems
  GameDev conference, Austin, Texas. Sponsored by the Digital Media Collaboratory (DMC) of the Innovation Creativity and Capital Institute (IC²) of The University of Texas at Austin. August 21, 2003.

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Symposia, Workshops, and Special Sessions:

• Fifth Annual IGT-UNR Engineering Symposium on Games and Gaming (co-organizer).
  UNR campus event, 2009.
• Special Session on Computational Intelligence in Real Time Strategy Games (co-organizer).
  CIG 2008.
• Special Session on Player Satisfaction (co-organizer).
  CIG 2008.
• Special Session on Player/Opponent Modeling (co-organizer).
  CIG 2008.
• Workshop on Behavior Analysis for Artificial and Simulated Agents (co-organizer).
  UNR/EPSCoR campus event, 2007.
• Workshop on Adaptive Approaches to Optimizing Player Satisfaction in Games and Interactive Digital Entertainment (co-organizer).
  AIIDE 2007.

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Useful Links:

• Publication archive of the Neural Networks Research Group (NNRG) in the Department of Computer Sciences (UTCS) at the University of Texas at Austin.
• scholarpedia.org is developing an Encyclopedia of Computational Intelligence. It is very incomplete, but its table of contents is a pretty good breakdown of the fields and sub-fields of Computational Intelligence.

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Classes:

• fall 2010:
  • CS482R/682R - Artificial Intelligence
• spring 2010:
  • CS709c - Discrete Systems Simulation
• fall 2009:
  • CS491s/691s - Neural Networks
• spring 2009:
  • CS381 - The Game Development Pipeline
• fall 2008:
  • CS481/CS681 - Advanced Game Design
• spring 2008:
  • CS381 - The Game Development Pipeline
  • CS483R/CS683R - Artificial Intelligence Programming
• fall 2007:
  • CS482R/CS682R - Artificial Intelligence
• spring 2007:
  • CS483/CS683 - Artificial Intelligence Programming
  • CS790Q - Seminar: Neuroevolution
• fall 2006:
  • CS482R/CS682R - Artificial Intelligence