Bikramjit Banerjee's Publications

• Selected Publications • All Sorted by Date • All Classified by Publication Type •

All Sorted by Date

• 2011 • 2010 • 2009 • 2008 • 2007 • 2006 • 2005 • 2004 • 2003 • 2002 • 2001 • 2000 • 1999 •

2011

• Bikramjit Banerjee, Jeremy Lyle, and Landon Kraemer. New Algorithms and Hardness Results for Multi-Agent Plan Recognition. In Proceedings of ICAPS-11 Workshop on Goal, Activity and Plan Recognition (GAPRec-11), pp. 24–31, Freiburg, Germany, 2011.
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• B. Banerjee and L. Kraemer. Evaluation and comparison of multi-agent based crowd simulation systems. In F. Dignum, editors, Agents for Games and Simulations II: Trends in Techniques, Concepts and Design, pp. 53–66, Springer, 2011.
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• B. Banerjee and L. Kraemer. Branch and Price for Multi-Agent Plan Recognition. In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, CA, 2011.
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• B. Banerjee, L. Kraemer, and W. Solano. Particle Filtering for Diagnosis and Prognosis of Anomalies in Rocket Engine Tests. In Proceedings of the American Institute of Aeronautics and Astronautics (AIAA) Conference on Infotech@Aerospace, St. Louis, MO, 2011.
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• Bikramjit Banerjee and Landon Kraemer. Action Discovery for Single and Multi-agent Reinforcement Learning. Advances in Complex Systems, 14(2):279–305, World Scientific Publishing, 2011.
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• Bikramjit Banerjee and Jing Peng. Strategic best-response learning in multi-agent systems. Journal of Experimental and Theoretical Artificial Intelligence, 2011. To appear
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• K. Cheng, P. Dasgupta, and B. Banerjee. Adaptive Multi-Robot Team Reconfiguration using a Policy-Reuse Reinforcement Learning Approach. In Proceedings of AAMAS-11 Workshop on Autonomous Robots and Multirobot Systems (ARMS-11), Taipei, Taiwan, 2011.
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2010

• Bikramjit Banerjee and Landon Kraemer. Reinforcement Learning with Action Discovery. In Proceedings of the Adaptive and Learning Agents Workshop at AAMAS-10, pp. 30–37, Toronto, Canada, May-10th 2010.
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• Bikramjit Banerjee and Landon Kraemer. Search performance of multi-agent plan recognition in a general model. In Proceedings of the Plan Activity and Intent Recognition (PAIR) Workshop at AAAI-10, Atlanta, GA, July-12th 2010.
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• B. Banerjee and L. Kraemer. Coalition Structure Generation in Multi-Agent Systems with Mixed Externalities. In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-10), pp. 175–182, Toronto, Canada, 2010.
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• B. Banerjee, L. Kraemer, and J. Lyle. Multi-Agent Plan Recognition: Formalization and Algorithms. In Proceedings of AAAI-10, pp. 1059–1064, Atlanta, GA, 2010.
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• B. Banerjee and L. Kraemer. Validation of Agent Based Crowd Egress Simulation (Extended Abstract). In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-10), pp. 1551–1552, Toronto, Canada, 2010.
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• B. Banerjee and L. Kraemer. Action Discovery for Reinforcement Learning (Extended Abstract). In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-10), pp. 1585–1586, Toronto, Canada, 2010.
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• Kyle Walsh and Bikramjit Banerjee. Fast A* with iterative resolution for navigation. International Journal on Artificial Intelligence Tools, 19(1):101–119, World Scientific Publishing, 2010.
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2009

• Bikramjit Banerjee, Ahmed Abukmail, and Landon Kraemer. Layered Intelligence for agent-based crowd simulation. SIMULATION: Transactions of the Society for Modeling and Simulation International, 85(10):621–633, SAGE, 2009.
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2008

• B. Banerjee, A. Abukmail, and L. Kraemer. Advancing the layered approach to agent-based crowd simulation. In Proceedings of the 22nd ACM/IEEE/SCS Workshop on the Principles of Advanced and Distributed Simulation (PADS), pp. 185–192, Rome, Italy, 2008.
  NOMINATED FOR BEST PAPER AWARD
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• B. Banerjee, M. Bennett, M. Johnson, and A. Ali. Congestion Avoidance in Multi-Agent-based Egress Simulation. In Proceedings of the 2008 International Conference on Artificial Intelligence (ICAI), Las Vegas, USA, 2008. To appear
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• Patrick Moghames and Bikramjit Banerjee. Deconstructing a Neural Network. In Proceedings of the International Conference on Computer Games and Allied Technology (CGAT 08), pp. 296–306, Singapore, 2008.
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• K.P. Walsh and B. Banerjee. Variable Resolution A*. In Proceedings of EUROSIS GAMEON-NA Conference, McGill University, Canada, 2008. To appear
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2007

• B. Banerjee and P. Stone. General Game learning using knowledge transfer. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 672–677, Hyderabad, India, 2007.
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• Bikramjit Banerjee and Jing Peng. Generalized Multiagent Learning with Performance Bound. Autonomous Agents and Multiagent Systems, 15(3):281–312, Springer, 2007.
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• G. Shahine and B. Banerjee. Player Modeling using Knowledge transfer. In Proceedings of EUROSIS GAMEON-NA Conference, pp. 82–89, Gainesville, FL, 2007.
  WINNER OF BEST PAPER AWARD
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2006

• B. Banerjee, Greg Kuhlmann, and Peter Stone. Value Function Transfer for General Game Playing. In Online Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning, CMU, Pittsburg, 2006. Held in conjunction with ICML-06
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• B. Banerjee and J. Peng. Unifying Convergence and No-regret in Multiagent Learning. In Karl Tuyls, Pieter Jan 't Hoen, Sandip Sen, and Katja Verbeeck, editors, Learning and Adaption in Multi-Agent Systems, pp. 100 – 114, Springer-Verlag, 2006.
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• B. Banerjee and J. Peng. RV_sigma(t): A unifying approach to performance and convergence in online multiagent learning. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-06), Hakodate, Japan, 2006.
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• Bikramjit Banerjee and Jing Peng. Reactivity and Safe Learning in Multiagent Systems. Adaptive Behavior, 14(4):339–356, SAGE, 2006.
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2005

• B. Banerjee and J. Peng. Convergence of no-regret learning in multiagent systems. In Proceedings of the First International Workshop on Learning and Adaptation in Multiagent Systems (LAMAS), Utrecht, The Netherlands, 2005. Held in conjunction with AAMAS-05.
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• B. Banerjee and J. Peng. Efficient No-regret multiagent learning. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pp. 41–46, AAAI, Pittsburgh, PA, 2005.
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• B. Banerjee and J. Peng. Efficient Learning of Multi-step best response. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-05), pp. 60–66, ACM Press, The Netherlands, 2005.
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• B. Banerjee and J. Peng. On the performance of on-line concurrent reinforcement learners. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-05), ACM Press, The Netherlands, 2005. Dissertation abstract at the Doctoral Consortium committee
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2004

• B. Banerjee and J. Peng. Performance bounded reinforcement learning in strategic interactions. In Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04), pp. 2 – 7, AAAI Press, San Jose, CA, 2004.
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• B. Banerjee and J. Peng. The Role of reactivity in Multiagent Learning. In Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04), pp. 538 – 545, ACM, New York, USA, 2004.
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• Bikramjit Banerjee, Sandip Sen, and Jing Peng. On-Policy Concurrent Reinforcement Learning. Journal of Experimental and Theoretical Artificial Intelligence, 16(4):245 – 260, 2004.
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2003

• Bikramjit Banerjee and Jing Peng. Countering Deception in Multiagent Reinforcement Learning. In Proceedings of the Sixth International Workshop on Trust, Privacy, Deception, and Fraud in Agent Societies, Melbourne, Australia, July-14 2003.
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• B. Banerjee and J. Peng. Adaptive policy gradient in multiagent learning. In Proceedings of 2nd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-03), pp. 686–692, Melbourne, Australia, 2003.
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2002

• B. Banerjee and S. Sen. Selecting Partners. In S. Parsons, P. Gmytrasiewicz, and M. Wooldrige, editors, Game Theory and Decision Theory in Agent-based Systems, pp. 29–42, Kluwer, 2002.
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• B. Banerjee and J. Peng. Convergent Gradient Ascent in General Sum Games. In Proceedings of 13th the European Conference on Machine Learning, pp. 1–9, Helsinki, Finland, 2002.
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• J. Peng, B. Banerjee, and D. R. Heisterkamp. Kernel index for relevance feedback retrieval in large image databases. In Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, pp. 187–191, Singapore, 2002. Also appeared in the Proceedings of the 9th International Conference on Neural Information Processing, 2002
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• N. Richter, S. Durbin, B. Banerjee, Z. Gedeon, and D. Warner. Fuzzy Adaptive Clustering and Classification for Browsable Document Directories. In Proceedings of the Conference on Artificial Neural Networks in Engineering, St. Louis, Missouri, 2002.
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2001

• B. Banerjee, S. Sen, and J. Peng. Fast concurrent reinforcement learners. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), pp. 825–832, Morgan Kaufmann, Seattle, WA, Aug 4-10 2001.
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• R. Mukherjee, B. Banerjee, and S. Sen. Learning Mutual Trust. In R. Falcone, M. Singh, and Y. Tan, editors, Trust in Cyber-Societies: Integrating Human and Artificial Perspectives, pp. 145–158, Springer-Verlag, 2001.
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• D. Warner, N. Richter, S. Durbin, and B. Banerjee. Mining clickstream data to facilitate user interaction with a customer service knowledgebase in Rightnow Web. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD), pp. 467–472, 2001.
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2000

• Bikramjit Banerjee, Rajatish Mukherjee, and Sandip Sen. Learning Mutual Trust. In Autonomous Agents '00 Workshop Proceedings on "Deception, Fraud and Trust in Agent Societies", 2000.
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• B. Banerjee, S. Sen, and J. Peng. Evaluating Competitive Learners. In Working notes of AGENTS-00/ECML-00 Workshop on Learning Agents, Barcelona, Spain, 2000.
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• B. Banerjee, S. Debnath, and S. Sen. Combining Multiple Perspectives. In Proceedings of the International Conference on Machine Learning (ICML-00), pp. 33–40, Stanford University, CA, 2000.
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• B. Banerjee and S. Sen. Selecting Partners. In Proceedings of the Fourth International Conference on Autonomous Agents (AGENTS-00), pp. 261–262, 2000.
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• Bikramjit Banerjee, Anish Biswas, Manisha Mundhe, Sandip Debnath, and Sandip Sen. Using Bayesian Networks to Model Agent Relationships. Journal of Applied Artificial Intelligence: Special issue on "Deception, Fraud and Trust in Agent Societies, 14(9):867–880, 2000.
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1999

• B.Banerjee, S.Debnath, and S.Sen. Using Bayesian Networks to aid Negotiations among Agents. In Working notes of the AAAI-99 workshop on Negotiation: Settling Conflicts and Identifying Opportunities, 1999.
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