Author: Yu Han Chang [RDF, Bibtex, BibBase, BibGraph] has 37 publications
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Learning and Evaluating Realistic Behavior in a Bargaining Game
Yu Han Chang, Rajiv Maheswaran.
Workshop on Agent-Based Complex Automated Negotiations
2011
Learning to Model Irrationality in the Social Ultimatum Game
Yu Han Chang, Rajiv Maheswaran.
HSCB (Human Social Culture Behavior) Modeling, Focus 2011 Conference
2011
Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games
Yu Han Chang, T. Levinboim, V. Rajan, Rajiv Maheswaran.
Artificial Intelligence and Interactive Digital Entertainment (AIIDE)
2011
Learning Models and Metrics for Human-Like Behavior in a Dynamic Network Game
Yu Han Chang, Rajiv Maheswaran.
Workshop on Adaptive Learning Agents
2011
The Social Ultimatum Game
Yu Han Chang, Rajiv Maheswaran.
Book Chapter, Decision Making with Imperfect Decision Makers
2011
The Social Ultimatum Game
Yu Han Chang, Rajiv Maheswaran.
Best Demonstration Award. Autonomous Agents and Multi-Agent Systems
2011
Towards Models of Mentoring Dialogue within a Teacher Networking Site
Jihie Kim, Yu Han Chang, Sen Cai, Saurabh Dhupar.
AIED (AI in Education)
2011
Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management
S. Mamidi, Rajiv Maheswaran, Yu Han Chang.
Multi-agent Smart Computing Workshop
2011
Learning a Skill Teaching Curriculum Using Dynamic Bayesian Networks
Derek Green, Tom Walsh, Paul Cohen, Yu Han Chang.
IAAI (Innovative Applications of Artificial Intelligence)
2011
Dynamics of Behavior in a Network Game
E. Kim, L. Chi, Rajiv Maheswaran, Yu Han Chang.
IEEE Social Computation Conference
2011
Gender Differences and the Value of Choice in Intelligent Tutoring Systems
Derek Green, Tom Walsh, Paul Cohen, Carole Beal, Yu Han Chang.
UMAP (User Modeling, Adaptation, and Personalization)
2011
The Social Ultimatum Game
Yu Han Chang, Rajiv Maheswaran, Tomer Levinboim.
NIPS Workshop on Decision Making with Imperfect Decision Makers
2010
Learning and Playing in Wubble World
Wesley Kerr, Paul Cohen, Yu Han Chang.
Artificial Intelligence and Interactive Digital Entertainment (AIIDE)
2008
Learning and Transferring Image Schemas
Paul Cohen, Yu Han Chang, Carole Beal.
International Joint Conference on Artificial Intelligence (IJCAI)
2007
Learning in Wubble World
Wesley Kerr, Shane Hoversten, Daniel Hewlett, Paul Cohen, Yu Han Chang.
International Conference on Development and Learning (ICDL)
2007
Wubble World
Daniel Hewlett, Shane Hoversten, Wesley Kerr, Paul Cohen, Yu Han Chang.
Proceedings of the Third Artificial Intelligence for Interactive Digital Entertainment Conference
2007
Piagetian Adaptation Meets Image Schemas: The Jean System
Yu Han Chang, Paul Cohen, Clayton Morrison, Robert St. Amant.
Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB)
2006
Piagetian Adaptation Meets Image Schemas: The Jean System
Yu Han Chang, Paul Cohen, Clayton Morrison, Robert St. Amant.
2006
The Jean System
Yu Han Chang, Clayton Morrison, Wesley Kerr, Paul Cohen, Robert St. Amant.
International Conference on Development and Learning
2006
Experimental State Splitting for Transfer Learning
Clayton Morrison, Yu Han Chang, Paul Cohen, Joshua Moody.
ICML 2006 Workshop on Structural Knowledge Transfer for Machine Learning
2006
Experimental State Splitting for Transfer Learning
Clayton Morrison, Yu Han Chang, Paul Cohen, Joshua Moody.
2006
On Constructive Network Coding for Multiple Unicasts
Tracey Ho, Yu Han Chang, Keesook J. Han.
Allerton Conference on Communication, Control, and Computing
2006
An Image Schema Language
Robert St. Amant, Clayton Morrison, Yu Han Chang, Wei Mu, Paul Cohen, Carole Beal.
Proceedings of the International Conference on Cognitive Modelling (ICCM 2006)
2006
An Image Schema Language
Robert St. Amant, Clayton Morrison, Yu Han Chang, Wei Mu, Paul Cohen, Carole Beal.
2006
Hedged learning: Regret minimization with learning experts
Yu Han Chang, Leslie Kaelbling.
International Conference on Machine Learning (ICML)
2005
Network monitoring in multicast networks using network coding
Tracey Ho, Ben Leong, Yu Han Chang, Yonggan Wen, Ralf Koetter.
ISIT (International Symposium on Information Theory)
2005
A reinforcement learning approach to mobilized ad-hoc networks
Yu Han Chang, Tracey Ho, Leslie Kaelbling.
ICAC (International Conference on Autonomic Computing)
2004
On the utility of network coding in dynamic environments
Tracey Ho, Ben Leong, Muriel Medard, Ralf Koetter, Yu Han Chang, Michelle Effros.
IWWAN (International Workshop on Wireless Adhoc Networks)
2004
All learning is local: Multi-agent learning in global reward games
Yu Han Chang, Tracey Ho, Leslie Kaelbling.
NIPS (Advances in Neural Information Processing Systems)
2003
Text Bundling: Statistics-Based Data Reduction
Kai Shih, Jason Rennie, Yu Han Chang, David Karger.
International Conference on Machine Learning
2003
Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right!
Kai Shih, Yu Han Chang, Jason Rennie, David Karger.
ICML '02 Text Workshop
2002
Playing is believing: The role of beliefs in multi-agent learning
Yu Han Chang, Leslie Kaelbling.
Advances in Neural Information Processing Systems
2001
Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right!
Kai Shih, Yu Han Chang, Jason Rennie, David Karger.
ICML '02 Text Workshop