View by area
Also show archived
1-60 61-120 121-180 181-240 241-300 301-360 361-420 421-480 481-540 541-600 601-660 661-720 721-780 781-840 841-900 901-919 View All 919
Stable Models and Circumscription 2010
Paolo Ferraris, Joohyung Lee, and Vladimir Lifschitz
Spherical Topic Models 2009
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney
Design Principles for Creating Human-Shapable Agents 2009
W. Bradley Knox and Ian Fasel and Peter Stone
Leading a Best-Response Teammate in an Ad Hoc Team 2009
Peter Stone and Gal A. Kaminka and Jeffrey S. Rosenschein
Generalized Domains for Empirical Evaluations in Reinforcement Learning 2009
Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning 2009
Shimon Whiteson and Matthew E. Taylor and Peter Stone
Transfer Learning for Reinforcement Learning Domains: A Survey 2009
Matthew E. Taylor and Peter Stone
Learning a Compositional Semantic Parser using an Existing Syntactic Parser 2009
Ruifang Ge and Raymond J. Mooney
Max-Margin Weight Learning for Markov Logic Networks 2009
Tuyen N. Huynh and Raymond J. Mooney
Semi-supervised graph clustering: a kernel approach 2009
Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney
Symmetric Splitting in the General Theory of Stable Models 2009
Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
A Comparison of Strategies for Developmental Action Acquisition 2009
Jonathan Mugan and Benjamin Kuipers
Max-Margin Weight Learning for Markov Logic Networks 2009
Tuyen N. Huynh and Raymond J. Mooney
Transfer Learning from Minimal Target Data by Mapping across Relational Domains 2009
Lilyana Mihalkova and Raymond Mooney
Using Closed Captions to Train Activity Recognizers that Improve Video Retrieval 2009
Sonal Gupta and Raymond Mooney
Probabilistic Abduction using Markov Logic Networks 2009
Rohit J. Kate and Raymond J. Mooney
Speeding up Inference In Statistical Relational Learning by Clustering Similar Query Literals 2009
Lilyana Mihalkova and Matthew Richardson
Learning to Disambiguate Search Queries from Short Sessions 2009
Lilyana Mihalkova and Raymond Mooney
Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation 2009
Lilyana Mihalkova
Activity Retrieval in Closed Captioned Videos 2009
Sonal Gupta
Evolving Multi-modal Behavior in NPCs 2009
Jacob Schrum and Risto Miikkulainen
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing 2009
Yiu Fai Sit and Risto Miikkulainen
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit
Skill Reuse in Lifelong Developmental Learning 2009
Jonathan Mugan and Benjamin Kuipers
Sub-ice exploration of West Lake Bonney: ENDURANCE 2008 Mission 2009
Bill Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka, Gregory Kuhlmann, and Mohan Sridharan
Vision based frozen surface egress: A docking algorithm for the ENDURANCE AUV 2009
Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher, and Bill Stone
Towards a Safe, Low-Cost, Intelligent Wheelchair 2009
Aniket Murarka, Shilpa Gulati, Patrick Beeson, and Benjamin Kuipers
A framework for planning comfortable and customizable motion of an assistive mobile robot 2009
Shilpa Gulati, Chetan Jhurani, Benjamin Kuipers, and Raul Longoria
Navigation, Control and Recovery of the ENDURANCE Under-ice Hovering AUV 2009
Kristof Richmond, Shilpa Gulati, Chris Flesher, Bartholomew P. Hogan, and William C. Stone
Sensor Map Discovery for Developing Robots 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
Learning the Sensorimotor Structure of the Foveated Retina 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
Improving Particle Filter Performance Using SSE Instructions 2009
Peter Djeu and Michael Quinlan and Peter Stone
Feature Selection for Value Function Approximation Using Bayesian Model Selection 2009
Tobias Jung and Peter Stone
A stereo vision based 3D mapping algorithm for detecting ramps, drop-offs, and obstacles for safe local navigation 2009
Aniket Murarka and Benjamin Kuipers.
Evolving Symmetric and Modular Neural Networks for Distributed Control 2009
Vinod K. Valsalam and Risto Miikkulainen
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots 2009
Vinod K. Valsalam and Risto Miikkulainen
Interactively Shaping Agents via Human Reinforcement: The TAMER Framework 2009
W. Bradley Knox and Peter Stone
Compositional Models for Reinforcement Learning 2009
Nicholas K. Jong and Peter Stone
An Empirical Comparison of Abstraction in Models of Markov Decision Processes 2009
Todd Hester and Peter Stone
Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation 2009
Jonathan Mugan and Benjamin Kuipers
Temporal Convolution Machines for Sequence Learning 2009
Alan J Lockett and Risto Miikkulainen
Three Humanoid Soccer Platforms: Comparison and Synthesis 2009
Shivaram Kalyanakrishnan and Todd Hester and Michael Quinlan and Yinon Bentor and Peter Stone
Learning Complementary Multiagent Behaviors: A Case Study 2009
Shivaram Kalyanakrishnan and Peter Stone
One More Decidable Class of Finitely Ground Programs 2009
Yuliya Lierler and Vladimir Lifschitz
Color Learning and Illumination Invariance on Mobile Robots: A Survey 2009
Mohan Sridharan and Peter Stone
Generalized Model Learning for Reinforcement Learning in Factored Domains 2009
Todd Hester and Peter Stone
An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning 2009
Shivaram Kalyanakrishnan and Peter Stone
The UT Austin Villa 3D Simulation Soccer Team 2008 2009
Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone
Evolving Neural Networks for Strategic Decision-Making Problems 2009
Nate Kohl and Risto Miikkulainen
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution 2009
Thomas D'Silva, Risto Miikkulainen
Memory Processes in Perceptual Decision Making 2008
Manish Saggar, Risto Miikkulainen, David M Schnyer
Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ 2008
Nicholas K. Jong and Peter Stone
Discriminative Structure and Parameter Learning for Markov Logic Networks 2008
Tuyen N. Huynh and Raymond J. Mooney
Watch, Listen & Learn: Co-training on Captioned Images and Videos 2008
Sonal Gupta, Joohyun Kim, Kristen Grauman and Raymond Mooney
Search Query Disambiguation from Short Sessions 2008
Lilyana Mihalkova and Raymond Mooney
Learning to Connect Language and Perception 2008
Raymond J. Mooney
Abstract Answer Set Solvers 2008
Yuliya Lierler
A Dependency-based Word Subsequence Kernel 2008
Rohit J. Kate
Transforming Meaning Representation Grammars to Improve Semantic Parsing 2008
Rohit J. Kate
Learning to Sportscast: A Test of Grounded Language Acquisition 2008
David L. Chen and Raymond J. Mooney