- 2010 Stable Models and Circumscription
- Paolo Ferraris, Joohyung Lee, and Vladimir Lifschitz
- 2009A Comparison of Strategies for Developmental Action Acquisition
- Jonathan Mugan and Benjamin Kuipers
- 2009A framework for planning comfortable and customizable motion of an assistive mobile robot
- Shilpa Gulati, Chetan Jhurani, Benjamin Kuipers, and Raul Longoria
- 2009A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex
- Yiu Fai Sit
- 2009A stereo vision based 3D mapping algorithm for detecting ramps, drop-offs, and obstacles for safe local navigation
- Aniket Murarka and Benjamin Kuipers.
- 2009Activity Retrieval in Closed Captioned Videos
- Sonal Gupta
- 2009An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning
- Shivaram Kalyanakrishnan and Peter Stone
- 2009An Empirical Comparison of Abstraction in Models of Markov Decision Processes
- Todd Hester and Peter Stone
- 2009Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation
- Jonathan Mugan and Benjamin Kuipers
- 2009Color Learning and Illumination Invariance on Mobile Robots: A Survey
- Mohan Sridharan and Peter Stone
- 2009Compositional Models for Reinforcement Learning
- Nicholas K. Jong and Peter Stone
- 2009Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing
- Yiu Fai Sit and Risto Miikkulainen
- 2009Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning
- Shimon Whiteson, Matthew E. Taylor, and Peter Stone
- 2009Design Principles for Creating Human-Shapable Agents
- W. Bradley Knox, Ian Fasel, and Peter Stone
- 2009Evolving Multi-modal Behavior in NPCs
- Jacob Schrum and Risto Miikkulainen
- 2009Evolving Neural Networks for Strategic Decision-Making Problems
- Nate Kohl and Risto Miikkulainen
- 2009Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots
- Vinod K. Valsalam and Risto Miikkulainen
- 2009Evolving Symmetric and Modular Neural Networks for Distributed Control
- Vinod K. Valsalam and Risto Miikkulainen
- 2009Feature Selection for Value Function Approximation Using Bayesian Model Selection
- Tobias Jung and Peter Stone
- 2009Generalized Domains for Empirical Evaluations in Reinforcement Learning
- Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone
- 2009Generalized Model Learning for Reinforcement Learning in Factored Domains
- Todd Hester and Peter Stone
- 2009Improving Particle Filter Performance Using SSE Instructions
- Peter Djeu, Michael Quinlan, and Peter Stone
- 2009Interactively Shaping Agents via Human Reinforcement: The TAMER Framework
- W. Bradley Knox and Peter Stone
- 2009Leading a Best-Response Teammate in an Ad Hoc Team
- Peter Stone, Gal A. Kaminka, and Jeffrey S. Rosenschein
- 2009Learning a Compositional Semantic Parser using an Existing Syntactic Parser
- Ruifang Ge and Raymond J. Mooney
- 2009Learning Complementary Multiagent Behaviors: A Case Study
- Shivaram Kalyanakrishnan and Peter Stone
- 2009Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution
- Thomas D'Silva and Risto Miikkulainen
- 2009Learning the Sensorimotor Structure of the Foveated Retina
- Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
- 2009Learning to Disambiguate Search Queries from Short Sessions
- Lilyana Mihalkova and Raymond Mooney
- 2009Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation
- Lilyana Mihalkova
- 2009Max-Margin Weight Learning for Markov Logic Networks
- Tuyen N. Huynh and Raymond J. Mooney
- 2009Max-Margin Weight Learning for Markov Logic Networks
- Tuyen N. Huynh and Raymond J. Mooney
- 2009Navigation, Control and Recovery of the ENDURANCE Under-ice Hovering AUV
- Kristof Richmond, Shilpa Gulati, Chris Flesher, Bartholomew P. Hogan, and William C. Stone
- 2009One More Decidable Class of Finitely Ground Programs
- Yuliya Lierler and Vladimir Lifschitz
- 2009Probabilistic Abduction using Markov Logic Networks
- Rohit J. Kate and Raymond J. Mooney
- 2009Semi-supervised graph clustering: a kernel approach
- Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney
- 2009Sensor Map Discovery for Developing Robots
- Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
- 2009Skill Reuse in Lifelong Developmental Learning
- Jonathan Mugan and Benjamin Kuipers
- 2009Speeding up Inference In Statistical Relational Learning by Clustering Similar Query Literals
- Lilyana Mihalkova and Matthew Richardson
- 2009Spherical Topic Models
- Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney
- 2009Sub-ice exploration of West Lake Bonney: ENDURANCE 2008 Mission
- Bill Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka, Gregory Kuhlmann, and Mohan Sridharan
- 2009Symmetric Splitting in the General Theory of Stable Models
- Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
- 2009Temporal Convolution Machines for Sequence Learning
- Alan J Lockett and Risto Miikkulainen
- 2009The UT Austin Villa 3D Simulation Soccer Team 2008
- Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone
- 2009Three Humanoid Soccer Platforms: Comparison and Synthesis
- Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone
- 2009Towards a Safe, Low-Cost, Intelligent Wheelchair
- Aniket Murarka, Shilpa Gulati, Patrick Beeson, and Benjamin Kuipers
- 2009Transfer Learning for Reinforcement Learning Domains: A Survey
- Matthew E. Taylor and Peter Stone
- 2009Transfer Learning from Minimal Target Data by Mapping across Relational Domains
- Lilyana Mihalkova and Raymond Mooney
- 2009Using Closed Captions to Train Activity Recognizers that Improve Video Retrieval
- Sonal Gupta and Raymond Mooney
- 2009Vision based frozen surface egress: A docking algorithm for the ENDURANCE AUV
- Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher, and Bill Stone
- 2008 A Library of General-Purpose Action Descriptions
- Selim T. Erdoğan
- 2008 Safe Formulas in the General Theory of Stable Models (preliminary report)
- Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
- 2008A Dependency-based Word Subsequence Kernel
- Rohit J. Kate
- 2008A General Purpose Task Specification Language for Bootstrap Learning
- Ian Fasel, Michael Quinlan, and Peter Stone
- 2008A Multiagent Approach to Autonomous Intersection Management
- Kurt Dresner and Peter Stone
- 2008A Neural Network-Based Approach to Robot Motion Control
- Uli Grasemann, Daniel Stronger, and Peter Stone
- 2008A Reductive Semantics for Counting and Choice in Answer Set Programming
- Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
- 2008Abstract Answer Set Solvers
- Yuliya Lierler
- 2008Accelerated Neural Evolution through Cooperatively Coevolved Synapses
- Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
- 2008Autonomous Transfer for Reinforcement Learning
- Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone
- 2008Category Learning Systems
- Dagmar Zeithamova
- 2008Constructing Complex NPC Behavior via Multi-Objective Neuroevolution
- Jacob Schrum and Risto Miikkulainen
- 2008Continuous-domain reinforcement learning using a learned qualitative state representation
- Jonathan Mugan and Benjamin Kuipers
- 2008Creating and Utilizing Symbolic Representations of Spatial Knowledge using Mobile Robots
- Patrick Beeson
- 2008Detecting obstacles and drop-offs using stereo and motion cues for safe local motion
- Aniket Murarka, Mohan Sridharan, and Benjamin Kuipers
- 2008Discriminative Structure and Parameter Learning for Markov Logic Networks
- Tuyen N. Huynh and Raymond J. Mooney
- 2008Domestic Interaction on a Segway Base
- W. Bradley Knox, Juhyun Lee, and Peter Stone
- 2008Evolving Neural Networks for Fractured Domains
- Nate Kohl and Risto Miikkulainen
- 2008Evolving Opponent Models for Texas Hold 'Em
- Alan J Lockett and Risto Miikkulainen
- 2008From pixels to policies: a bootstrapping agent
- Jeremy Stober and Benjamin Kuipers
- 2008Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ
- Nicholas K. Jong and Peter Stone
- 2008High Performance Control for Graceful Motion of an Intelligent Wheelchair
- Shilpa Gulati and Benjamin Kuipers
- 2008Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization
- Marshall R. Mayberry III and Risto Miikkulainen
- 2008Instance-Based Action Models for Fast Action Planning
- Mazda Ahmadi and Peter Stone
- 2008Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting
- Juhyun Lee, W. Bradley Knox, and Peter Stone
- 2008Knowledge Representation and Classical Logic
- Vladimir Lifschitz, Leora Morgenstern, and David Plaisted
- 2008Knowledge Representation and Question Answering
- Marcello Balduccini, Chitta Baral, and Yuliya Lierler
- 2008Learning to Connect Language and Perception
- Raymond J. Mooney
- 2008Learning to Sportscast: A Test of Grounded Language Acquisition
- David L. Chen and Raymond J. Mooney
- 2008Logic Programs vs. First-order Formulas in Textual Inference
- Yuliya Lierler and Vladimir Lifschitz
- 2008Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot
- Daniel Stronger and Peter Stone
- 2008Memory Processes in Perceptual Decision Making
- Manish Saggar, Risto Miikkulainen, and David M Schnyer
- 2008Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles
- Kurt Dresner and Peter Stone
- 2008Model-based Reinforcement Learning in a Complex Domain
- Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu
- 2008Modular Neuroevolution for Multilegged Locomotion
- Vinod K. Valsalam and Risto Miikkulainen
- 2008Motion Perception and the Scene Statistics of Motion
- Tal Tversky
- 2008Multiagent Interactions in Urban Driving
- Patrick Beeson, Jack O'Quin, Bartley Gillan, Tarun Nimmagadda, Mickey Ristroph, David Li, and Peter Stone
- 2008Negative Information and Line Observations for Monte Carlo Localization
- Todd Hester and Peter Stone
- 2008Online Kernel Selection for Bayesian Reinforcement Learning
- Joseph Reisinger, Peter Stone, and Risto Miikkulainen
- 2008Online Multiagent Learning against Memory Bounded Adversaries
- Doran Chakraborty and Peter Stone
- 2008Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
- Daniel Stronger and Peter Stone
- 2008Ray-based color image segmentation
- Changhai Xu, Yong Jae Lee, and Benjamin Kuipers
- 2008Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles
- Mark VanMiddlesworth, Kurt Dresner, and Peter Stone
- 2008Search Query Disambiguation from Short Sessions
- Lilyana Mihalkova and Raymond Mooney
- 2008TAMER: Training an Agent Manually via Evaluative Reinforcement
- W. Bradley Knox and Peter Stone
- 2008The 2007 TAC SCM Prediction Challenge
- David Pardoe and Peter Stone
- 2008The Utility of Temporal Abstraction in Reinforcement Learning
- Nicholas K. Jong, Todd Hester, and Peter Stone
- 2008Towards the Application of Reinforcement Learning to Undirected Developmental Learning
- Jonathan Mugan and Benjamin Kuipers
- 2008Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
- Subramanian Ramamoorthy and Benjamin Kuipers
- 2008Transfer Learning and Intelligence: an Argument and Approach
- Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone
- 2008Transfer Learning by Mapping with Minimal Target Data
- Lilyana Mihalkova and Raymond J. Mooney
- 2008Transfer of Evolved Pattern-Based Heuristics in Games
- Erkin Bahceci and Risto Miikkulainen
- 2008Transferring Instances for Model-Based Reinforcement Learning
- Matthew E. Taylor, Nicholas K. Jong, and Peter Stone
- 2008Transforming Meaning Representation Grammars to Improve Semantic Parsing
- Rohit J. Kate
- 2008Twelve Definitions of a Stable Model
- Vladimir Lifschitz
- 2008UT Austin Villa 2008: Standing on Two Legs
- Todd Hester, Michael Quinlan, and Peter Stone
- 2008Watch, Listen & Learn: Co-training on Captioned Images and Videos
- Sonal Gupta, Joohyun Kim, Kristen Grauman, and Raymond Mooney
- 2008What Is Answer Set Programming?
- Vladimir Lifschitz
- 2007 Cmodels: SAT-based Answer Set Programming System
- Yuliya Lierler and Marco Maratea
- 2007A Characterization of Strong Equivalence for Logic Programs with Variables
- Vladimir Lifschitz, David Pearce, and Agustin Valverde
- 2007A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot
- Daniel Stronger and Peter Stone
- 2007A computational model of the motivation-learning interface
- Manish Saggar, Arthur B Markman, W Todd Maddox, and Risto Miikkulainen
- 2007A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes
- Yiu Fai Sit and Risto Miikkulainen
- 2007A New Perspective on Stable Models
- Paolo Ferraris, Joohyung Lee, and Vladimir Lifschitz
- 2007A Subsymbolic Model of Language Pathology in Schizophrenia
- Uli Grasemann, Risto Miikkulainen, and Ralph Hoffman
- 2007Accelerating Search with Transferred Heuristics
- Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone
- 2007Acquiring Evolvability through Adaptive Representations
- Joseph Reisinger and Risto Miikkulainen
- 2007Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
- Bobby D. Bryant and Risto Miikkulainen
- 2007Action Selection for Illumination Invariant Color Learning
- Mohan Sridharan and Peter Stone
- 2007Adapting Price Predictions in TAC SCM
- David Pardoe and Peter Stone
- 2007Adaptive Tile Coding for Value Function Approximation
- Shimon Whiteson, Matthew E. Taylor, and Peter Stone
- 2007An Autonomous Agent for Supply Chain Management
- David Pardoe and Peter Stone
- 2007Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition
- Michael P. Wellman, Amy Greenwald, and Peter Stone
- 2007Autonomous Development of a Grounded Object Ontology by a Learning Robot
- Joseph Modayil and Benjamin Kuipers
- 2007Autonomous Learning of Stable Quadruped Locomotion
- Manish Saggar, Thomas D'Silva, Nate Kohl, and Peter Stone
- 2007Autonomous Return on Investment Analysis of Additional Processing Resources
- Jonathan Wildstrom, Peter Stone, and Emmett Witchel
- 2007Batch Reinforcement Learning in a Complex Domain
- Shivaram Kalyanakrishnan and Peter Stone
- 2007Bottom-Up Learning of Markov Logic Network Structure
- Lilyana Mihalkova and Raymond J. Mooney
- 2007Coevolution of Role-Based Cooperation in Multi-Agent Systems
- Chern Han Yong and Risto Miikkulainen
- 2007Coevolving Strategies for General Game Playing
- Joseph Reisinger, Erkin Bahceci, Igor Karpov, and Risto Miikkulainen
- 2007Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
- Mohan Sridharan and Peter Stone
- 2007Cross-Domain Transfer for Reinforcement Learning
- Matthew E. Taylor and Peter Stone
- 2007DARPA Urban Challenge Technical Report: Austin Robot Technology
- Peter Stone, Patrick Beeson, Tekin Mericli, and Ryan Madigan
- 2007Detecting Motion in the Environment with a Moving Quadruped Robot
- Peggy Fidelman, Thayne Coffman, and Risto Miikkulainen
- 2007Developing Complex Systems Using Evolved Pattern Generators
- Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
- 2007Effects of Acquisition Rate on Emergent Structure in Phonological Development
- Melissa A. Redford and Risto Miikkulainen
- 2007Empirical Studies in Action Selection for Reinforcement Learning
- Shimon Whiteson, Matthew E. Taylor, and Peter Stone
- 2007Evolving Explicit Opponent Models for Game Play
- Alan Lockett, Charles Chen, and Risto Miikkulainen
- 2007Expressiveness of Answer Set Languages
- Paolo Ferraris
- 2007Extracting Relations from Text: From Word Sequences to Dependency Paths
- Razvan C. Bunescu and Raymond J. Mooney
- 2007Following Natural Language Route Instructions
- Matthew T. MacMahon
- 2007General Game Learning using Knowledge Transfer
- Bikramjit Banerjee and Peter Stone
- 2007Generation by Inverting a Semantic Parser That Uses Statistical Machine Translation
- Yuk Wah Wong and Raymond J. Mooney
- 2007Graph-Based Domain Mapping for Transfer Learning in General Games
- Gregory Kuhlmann and Peter Stone
- 2007Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study
- Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone
- 2007Head-Elementary-Set-Free Logic Programs
- Martin Gebser, Joohyung Lee, and Yuliya Lierler
- 2007IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks
- Mazda Ahmadi, Matthew E. Taylor, and Peter Stone
- 2007Improving Learning of Markov Logic Networks using Transfer and Bottom-Up Induction
- Lilyana Mihalkova
- 2007Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication
- Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, and Brian Stankiewicz
- 2007Intelligent Autonomous Robotics: A Robot Soccer Case Study
- Peter Stone
- 2007Learning and Multiagent Reasoning for Autonomous Agents
- Peter Stone
- 2007Learning distinctions and rules in a continuous world through active exploration
- Jonathan Mugan and Benjamin Kuipers
- 2007Learning for Information Extraction: From Named Entity Recognition and Disambiguation To Relation Extraction
- Razvan Constantin Bunescu
- 2007Learning for Semantic Parsing
- Raymond J. Mooney
- 2007Learning for Semantic Parsing and Natural Language Generation Using Statistical Machine Translation Techniques
- Yuk Wah Wong
- 2007Learning for Semantic Parsing with Kernels under Various Forms of Supervision
- Rohit J. Kate
- 2007Learning Language Semantics from Ambiguous Supervision
- Rohit J. Kate and Raymond J. Mooney
- 2007Learning Policy Selection for Autonomous Intersection Management
- Kurt Dresner and Peter Stone
- 2007Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
- Yuk Wah Wong and Raymond J. Mooney
- 2007Learning to Extract Relations from the Web using Minimal Supervision
- Razvan C. Bunescu and Raymond J. Mooney
- 2007Learning to predict the effects of actions: synergy between rules and landmarks
- Jonathan Mugan and Benjamin Kuipers
- 2007Machine Learning for On-Line Hardware Reconfiguration
- Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin
- 2007Mapping and Revising Markov Logic Networks for Transfer Learning
- Lilyana Mihalkova, Tuyen Huynh, and Raymond J. Mooney
- 2007MARLEDA: Effective Distribution Estimation Through Markov Random Fields
- Matthew Alden
- 2007Model-Based Exploration in Continuous State Spaces
- Nicholas K. Jong and Peter Stone
- 2007Model-Based Function Approximation for Reinforcement Learning
- Nicholas K. Jong and Peter Stone
- 2007Modeling the self-organization of color selectivity in the visual cortex
- Judah Ben De Paula
- 2007Multiagent learning is not the answer. It is the question
- Peter Stone
- 2007Multiple Instance Learning for Sparse Positive Bags
- Razvan C. Bunescu and Raymond J. Mooney
- 2007Planning Actions to Enable Color Learning on a Mobile Robot
- Mohan Sridharan and Peter Stone
- 2007Reinforcement Learning in High-Diameter, Continuous Environments
- Jefferson Provost
- 2007Representation Transfer for Reinforcement Learning
- Matthew E. Taylor and Peter Stone
- 2007Robot Developmental Learning of an Object Ontology Grounded in Sensorimotor Experience
- Joseph Modayil
- 2007Selective Visual Attention for Object Detection on a Legged Robot
- Daniel Stronger and Peter Stone
- 2007Self-Organizing Distinctive State Abstraction Using Options
- Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen
- 2007Self-organizing distinctive state abstraction using options
- Jefferson Provost and Benjamin Kuipers
- 2007Semantic Boost on Episodic Associations: An Empirically Based Computational Model
- Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen
- 2007Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
- Rohit J. Kate and Raymond J. Mooney
- 2007Sharing the Road: Autonomous Vehicles meet Human Drivers
- Kurt Dresner and Peter Stone
- 2007Sneaking up on the Hard Problem of consciousness
- Benjamin Kuipers
- 2007Statistical Relational Learning for Natural Language Information Extraction
- Razvan Bunescu and Raymond J. Mooney
- 2007Structure Based Color Learning on a Mobile Robot under Changing Illumination
- Mohan Sridharan and Peter Stone
- 2007System Identification for the Hodgkin-Huxley Model using ArtificialNeural Networks
- Manish Saggar, Tekin Meriçli, Sari Andoni, and Risto Miikkulainen
- 2007Task Encoding, Motion Planning and Intelligent Control with Qualitative Models
- Subramanian Ramamoorthy
- 2007Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
- Matthew E. Taylor, Shimon Whiteson, and Peter Stone
- 2007The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
- Peggy Fidelman and Peter Stone
- 2007The Semantics of Variables in Action Descriptions
- Vladimir Lifschitz and Wanwan Ren
- 2007The UT Austin Villa 3D Simulation Soccer Team 2007
- Shivaram Kalyanakrishnan and Peter Stone
- 2007Transfer Learning via Inter-Task Mappings for Temporal Difference Learning
- Matthew E. Taylor, Peter Stone, and Yaxin Liu
- 2007Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning
- Matthew E. Taylor, Shimon Whiteson, and Peter Stone
- 2007Variables in Action Descriptions: Merging C+ with ADL
- Vladimir Lifschitz and Wanwan Ren
- 2007Where do actions come from? Autonomous robot learning of objects and actions
- Joseph Modayil and Benjamin Kuipers
- 2007Why the Monkey Needs the Box: a Serious Look at a Toy Domain
- Selim T. Erdoğan, Paolo Ferraris, Vladimir Lifschitz, and Wanwan Ren
- 2006 Adapting proposal distributions for accurate, efficient mobile robot localization.
- Patrick Beeson, Aniket Murarka, and Benjamin Kuipers
- 2006A Generalization of the Lin-Zhao Theorem
- Paolo Ferraris, J. Lee, and Vladimir Lifschitz
- 2006A Knowledge Module: Buying and Selling
- J. Lee and Vladimir Lifschitz
- 2006A Modular Action Description Language
- Vladimir Lifschitz and Wanwan Ren
- 2006A Multi-Robot System for Continuous Area Sweeping Tasks
- Mazda Ahmadi and Peter Stone
- 2006A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling
- Peter Yeh, Bruce Porter, and Ken Barker
- 2006Actions as Special Cases
- Selim T. Erdoğan and Vladimir Lifschitz
- 2006Adapting to Workload Changes Through On-The-Fly Reconfiguration
- Jonathan Wildstrom, Peter Stone, Emmett Witchel, and Mike Dahlin
- 2006Adaptive Blocking: Learning to Scale Up Record Linkage
- Mikhail Bilenko, Beena Kamath, and Raymond J. Mooney
- 2006Adaptive Mechanism Design: A Metalearning Approach
- David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak
- 2006Answer Set Programming based on Propositional Satisfiability
- Enrico Giunchiglia, Yuliya Lierler, and Marco Maratea
- 2006Automatic Heuristic Construction in a Complete General Game Player
- Gregory Kuhlmann, Kurt Dresner, and Peter Stone
- 2006Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data
- Mohan Sridharan and Peter Stone
- 2006Autonomous Shape Model Learning for Object Localization and Recognition
- Joseph Modayil and Benjamin Kuipers
- 2006Bootstrap learning of foundational representations
- Bootstrap learning of foundational representations
- 2006Building local safety maps for a wheelchair robot using vision and lasers
- Aniket Murarka, Joseph Modayil, and Benjamin Kuipers
- 2006Cobot in LambdaMOO: An Adaptive Social Statistics Agent
- Charles Lee Isbell, Jr., Michael Kearns, Satinder Singh, Christian Shelton, Peter Stone, and Dave Kormann
- 2006Coevolution of Neural Networks using a Layered Pareto Archive
- German A. Monroy, Kenneth O. Stanley, and Risto Miikkulainen
- 2006Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning
- Matthew Taylor, Shimon Whiteson, and Peter Stone
- 2006Computational Intelligence in Games
- Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong
- 2006Converting RGB Images to LMS Cone Activations
- Judah B. De Paula
- 2006Creating Intelligent Agents in Games
- Risto Miikkulainen
- 2006Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms
- Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, and Ben Kuipers
- 2006Developing navigation behavior through self-organizing distinctive state abstraction
- Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen.
- 2006Discriminative Reranking for Semantic Parsing
- Ruifang Ge and Raymond J. Mooney
- 2006Efficient Non-Linear Control through Neuroevolution
- Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
- 2006Elementary Sets for Logic Programs
- M. Gebser, J. Lee, and Yuliya Lierler
- 2006Establishing an Appropriate Learning Bias Through Development
- Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
- 2006Evolutionary Function Approximation for Reinforcement Learning
- Shimon Whiteson and Peter Stone
- 2006Evolving a Real-World Vehicle Warning System
- Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony
- 2006Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method
- Thomas W. D'Silva
- 2006Evolving Stochastic Controller Networks for Intelligent Game Agents
- Bobby D. Bryant and Risto Miikkulainen
- 2006Evolving Visibly Intelligent Behavior for Embedded Game Agents
- Bobby D. Bryant
- 2006Experiments with SAT-based Answer Set Programming
- Giunchiglia, Yuliya Lierler, E. Maratea, Tacchella, M., and A.
- 2006Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents
- Bobby D. Bryant and Risto Miikkulainen
- 2006Fast and Effective Worm Fingerprinting via Machine Learning
- Stewart Yang, Jianping Song, Harish Rajamani, Taewon Cho, Yin Zhang, and Raymond Mooney
- 2006Fast and Effective Worm Fingerprinting via Machine Learning
- Stewart Yang, Jianping Song, Harish Rajamani, Taewon Cho, Yin Zhang, and Raymond Mooney
- 2006From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty
- Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, and Nicholas K. Jong
- 2006Grounding Language in Descriptions of Scenes
- Paul Williams and Risto Miikkulainen
- 2006Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management
- Kurt Dresner and Peter Stone
- 2006Incorporating Advice into Neuroevolution of Adaptive Agents
- Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov
- 2006Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline
- Razvan Bunescu, Raymond Mooney, Arun Ramani, and Edward Marcotte
- 2006Integration and Evaluation of Exploration-Based Learning in Games
- Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, and Risto Miikkulainen
- 2006Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1
- James A. Bednar and Risto Miikkulainen
- 2006Keepaway Soccer: From Machine Learning Testbed to Benchmark
- Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu
- 2006Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots
- Mazda Ahmadi and Peter Stone
- 2006Know Thine Enemy: A Champion RoboCup Coach Agent
- Gregory Kuhlmann, William B. Knox, and Peter Stone
- 2006Learnable Similarity Functions and Their Application to Record Linkage and Clustering
- Mikhail Bilenko
- 2006Learning for Semantic Parsing with Statistical Machine Translation
- Yuk Wah Wong and Raymond J. Mooney
- 2006Learning Language from Perceptual Context: A Challenge Problem for AI
- Raymond J. Mooney
- 2006Learning Semantic Parsers Using Statistical Syntactic Parsing Techniques
- Ruifang Ge
- 2006Low-Discrepancy Curves and Efficient Coverage of Space
- Subramanian Ramamoorthy, Ram Rajagopal, Qing Ruan, and Lothar Wenzel
- 2006Model Generation for Generalized Quantifiers via Answer Set Programming
- Yuliya Lierler, Goerz, and Guenther
- 2006Multiagent Traffic Management: Opportunities for Multiagent Learning
- Kurt Dresner and Peter Stone
- 2006On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains
- Shimon Whiteson and Peter Stone
- 2006Parametrization and computations in shape spaces with area and boundary invariants
- S. Ramamoorthy, B.J. Kuipers, and L. Wenzel
- 2006Parametrization and computations in shape spaces with area and boundary invariants
- Subramanian Ramamoorthy, Benjamin Kuipers, and Lothar Wenzel
- 2006Predictive Planning for Supply Chain Management
- David Pardoe and Peter Stone
- 2006Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1
- Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen
- 2006Probabilistic Semi-Supervised Clustering with Constraints
- Sugato Basu, Mikhail Bilenko, Arindam Banerjee, and Raymond J. Mooney
- 2006Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
- Peter Stone and Gerhard Weiss
- 2006Qualitative hybrid control of dynamic bipedal walking
- Subramanian Ramamoorthy and Benjamin Kuipers
- 2006Real-Time Evolution of Neural Networks in the NERO Video Game
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