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You are viewing titles for THE UNIVERSITY OF TEXAS AT AUSTIN in the Artificial intelligence available through the UMI Dissertations & Thesis Gradwoorks site
 
Automatic interpretation of loosely encoded knowledge
Evolving visibly intelligent behavior for embedded game agents
 
Flexible semantic matching of rich knowledge structures
Learning for semantic parsing with kernels under various forms of supervision
 
Following natural language route instructions
Robot developmental learning of an object ontology grounded in sensorimotor experience
 
Reinforcement learning in high-diameter, continuous environments
A generic memory module for events
 
Robust structure-based autonomous color learning on a mobile robot
New learning models for robust reference resolution
 
Adaptive Trust Modeling in multi-agent systems: Utilizing experience and reputation
Autonomous sensor and action model learning for mobile robots
 
Autonomous inter-task transfer in reinforcement learning domains
A library of general-purpose action descriptions
 
Through-wall human monitoring using data-driven models with Doppler information
Building Safety Maps using Vision for Safe Local Mobile Robot Navigation