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I am a PhD candidate in the Department of Computer Science at the
University of Massachusetts, Amherst, and a member of the
Multi-Agent Systems Lab. My advisor is professor
Victor Lesser.
Research Interests
My main interests are in multi-agent systems and machine learning. I am currently interested in how to integrate adatpive organizational control with multiagent learning for developing efficient, scalable, adaptive multi-agent systems. I am also interested in applying multi-agent learning techniques to pratical problems, including cloud computing, sensor networks, and information retrieval.
Publications
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
Chongjie Zhang and Victor Lesser.
In the Proceedings of the 25th National Conference on Artificial Intelligence (AAAI), 2011.
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Organizationally Adept Agents
Daniel Corkill, Edmund Durfee, Victor Lesser, Huzaifa Zafar, and Chongjie Zhang
COINS2011 Workshop at Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-11)
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Multi-Agent Learning with Policy Prediction
Chongjie Zhang and Victor Lesser.
In the Proceedings of the 24th National Conference on Artificial Intelligence (AAAI), 2010.
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Self-Organization for Coordinating Decentralized Reinforcement Learning
Chongjie Zhang, Victor Lesser, and Sherief Abdallah.
In the Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2010.
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A Multiagent Learning Approach to Online Distributed Resource Allocation
Chongjie Zhang, Victor Lesser, and Prashant Shenoy.
In the Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI) 2009.
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An Ensemble Learning and Problem Solving Architecture for Airspace Management
Xiaoqin (Shelley) Zhangy, Sungwook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek Greenyy, Jinhong K. Guo, Ugur Kuter, Geoff Levine, Reid L. MacTavish, Daniel McFarlane, James R Michaelis, Hala Mostafa, Santiago Ontanon, Charles Parker, Jainarayan Radhakrishnan, Anton Rebgunsyy, Bhavesh Shresthay, Zhexuan Song, Ethan B. Trewhitt, Huzaifa Zafar, Chongjie Zhang, et al..
In the Proceedings of the 21st Conference on Innovative Applications of Artificial Intelligence (IAAI) 2009.
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Integrating Organizational Control into Multiagent Learning
Chongjie Zhang, Sherief Abdallah, and Victor Lesser.
In the Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2009.
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Efficient Multiagent Reinforcement Learning through Automated Supervision
Chongjie Zhang, Sherief Abdallah, and Victor Lesser.
In the Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2008.
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An Application Portal for Collaborative Coastal Modeling
Chongjie Zhang, Chirag Dekate, Gabrielle Allen, Ian Kelley, and Jon MacLaren.
Concurrency and Computation: Practice and Experience, Volume 19, Issue 12, p. 1571-1581, 2007.
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Grid Portal Solutions: A Comparison of GridPortlets and OGCE
Chongjie Zhang, Ian Kelley, and Gabrielle Allen. Concurrency and Computation: Practice and Experience, Volume 19, Issue 12, p. 1739-1748, 2007.
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A Workflow Approach to Designed Reservoir Study.
Gabrielle Allen, Promita Chakraborty, Dayong Huang, Zhou Lei, John Lewis, Christopher White, Xiaoxi Xu, and Chongjie Zhang. In the Proceedings of the 2nd Workshop on Workflows in Support of Large-Scale Science (WORKS) 2007 [LINK]
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Shelter from the Storm: Building a Safe Archive in a Hostile World
Jon MacLaren, Gabrielle Allen, Chirag Dekate, Dayong Huang, Andrei Hutanu, and Chongjie Zhang. Lecture Notes in Computer Science, Volume 3762, p. 294, 2005.
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