Targeting Specific Distributions of Trajectories in MDPs. - David L. Roberts 001; Mark J. Nelson; Charles Lee Isbell Jr.; Michael Mateas; Michael L. Littman (AAAI, 2006)

A Position Paper: Value of Information for Evidence Detection. - David L. Roberts 001; Tina Eliassi-Rad (AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection, 2006)

Reinforcement learning for declarative optimization-based drama management. - Mark J. Nelson; David L. Roberts 001; Charles Lee Isbell Jr.; Michael Mateas (AAMAS, 2006)

A decision-theoretic approach to file consistency in constrained peer-to-peer device networks. - David L. Roberts 001; Sooraj Bhat; Charles Lee Isbell Jr.; Brian F. Cooper; Jeffrey S. Pierce (AAMAS, 2006)

Declarative Optimization-Based Drama Management in Interactive Fiction. - Mark J. Nelson; Michael Mateas; David L. Roberts 001; Charles Lee Isbell Jr. (IEEE Computer Graphics and Applications, 2006)

Authorial Idioms for Target Distributions in TTD-MDPs. - David L. Roberts 001; Sooraj Bhat; Kenneth St. Clair; Charles Lee Isbell Jr. (AAAI, 2007)

Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes. - David L. Roberts 001; Christina R. Strong; Charles L. Isbell Jr. (AAAI Fall Symposium: Intelligent Narrative Technologies, 2007)

Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides. - David L. Roberts 001; Andrew S. Cantino; Charles Lee Isbell Jr. (AIIDE, 2007)

A globally optimal algorithm for TTD-MDPs. - Sooraj Bhat; David L. Roberts 001; Mark J. Nelson; Charles L. Isbell Jr.; Michael Mateas (AAMAS, 2007)

Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs. - Andrew S. Cantino; David L. Roberts 001; Charles L. Isbell Jr. (AAMAS, 2007)

Computational Influence for Training and Entertainment. - David L. Roberts 001 (AAAI, 2008)

On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. - David L. Roberts 001; Charles Lee Isbell Jr.; Mark O. Riedl; Ian Bogost; Merrick L. Furst (ICIDS, 2008)

Optimization problems involving collections of dependent objects. - David L. Roberts 001; Charles L. Isbell Jr.; Michael L. Littman (Ann. Oper. Res., 2008)

Locating sensors in paths and cycles: The case of 2-identifying codes. - David L. Roberts 001; Fred S. Roberts (Eur. J. Comb., 2008)

Organizing Committee. - Sandy Louchart; Manish Mehta 001; David L. Roberts 001 (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Preface. - Sandy Louchart; Manish Mehta 001; David L. Roberts 001 (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Learning to Influence Emotional Responses for Interactive Storytelling. - David L. Roberts 001; Harikrishna Narayanan; Charles L. Isbell Jr. (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Beyond Adversarial: The Case for Game AI as Storytelling. - David L. Roberts 001; Mark O. Riedl; Charles L. Isbell Jr. (DiGRA Conference, 2009)

Using influence and persuasion to shape player experiences. - David L. Roberts 001; Merrick L. Furst; Brian Dorn; Charles L. Isbell Jr. (Sandbox@SIGGRAPH, 2009)

Reports of the AAAI 2009 Spring Symposia. - Jie Bao 001; Uldis Bojars; Tanzeem Choudhury; Li Ding 001; Mark Greaves; Ashish Kapoor; Sandy Louchart; Manish Mehta 001; Bernhard Nebel; Sergei Nirenburg; Tim Oates 001; David L. Roberts 001; et al. (AI Mag., 2009)

Computational techniques for reasoning about and shaping player experiences in interactive narratives. - David L. Roberts 001 (2010)

DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. - Karthik Sankaran Narayan; Charles Lee Isbell Jr.; David L. Roberts 001 (AIIDE, 2011)

Seven Design Challenges for Fully-realized Experience Management. - David L. Roberts 001 (Intelligent Narrative Technologies, 2011)

Initial Results for Measuring Four Dimensions of Narrative Conflict. - Stephen G. Ware; Brent E. Harrison; Robert Michael Young; David L. Roberts 001 (Intelligent Narrative Technologies, 2011)

Using sequential observations to model and predict player behavior. - Brent E. Harrison; David L. Roberts 001 (FDG, 2011)

A Method for Transferring Probabilistic User Models between Environments. - David L. Roberts 001; Fred S. Roberts (ICIDS, 2011)

Spatial Game Signatures for Bot Detection in Social Games. - Titus Barik; Brent E. Harrison; David L. Roberts 001; Xuxian Jiang (AIIDE, 2012)

When Players Quit (Playing Scrabble). - Brent E. Harrison; David L. Roberts 001 (AIIDE, 2012)

Posture estimation for a canine machine interface based training system. - Rita Brugarolas; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (EMBC, 2012)

Achieving the Illusion of Agency. - Matthew William Fendt; Brent E. Harrison; Stephen G. Ware; Rogelio Cardona-Rivera; David L. Roberts 001 (ICIDS, 2012)

Four Quantitative Metrics Describing Narrative Conflict. - Stephen G. Ware; Robert Michael Young; Brent E. Harrison; David L. Roberts 001 (ICIDS, 2012)

A Formal Game for Eliciting Story Structure from Authors. - David L. Roberts 001; Andrew Hansen (INT@AIIDE, 2012)

Evaluating the Use of Action Templates to Create Suspense in Narrative Planning. - Matthew William Fendt; David L. Roberts 001; R. Michael Young (Intelligent Narrative Technologies, 2013)

Behavior recognition based on machine learning algorithms for a wireless canine machine interface. - Rita Brugarolas; Robert T. Loftin; Pu Yang; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (BSN, 2013)

Analytics-driven dynamic game adaption for player retention in Scrabble. - Brent E. Harrison; David L. Roberts 001 (CIG, 2013)

Knowledge discovery for characterizing team success or failure in (A)RTS games. - Pu Yang; David L. Roberts 001 (CIG, 2013)

A community college blended learning classroom experience through Artificial Intelligence in Games. - Titus Barik; Michael Everett; Rogelio Enrique Cardona-Rivera; David L. Roberts 001; Edward F. Gehringer (FIE, 2013)

A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. - Robert Tyler Loftin; James MacGlashan; Bei Peng 001; Matthew E. Taylor; Michael L. Littman; Jeff Huang 002; David L. Roberts 001 (AAAI, 2014)

Foreseeing Meaningful Choices. - Rogelio Enrique Cardona-Rivera; Justus Robertson; Stephen G. Ware; Brent E. Harrison; David L. Roberts 001; Robert Michael Young (AIIDE, 2014)

Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. - Brent Edward Harrison; David L. Roberts 001 (AIIDE, 2014)

Identifying patterns in combat that are predictive of success in MOBA games. - Pu Yang; Brent E. Harrison; David L. Roberts 001 (FDG, 2014)

Exploring key-level analytics for computational modeling of typing behavior. - Arpan Chakraborty; Brent E. Harrison; Pu Yang; David L. Roberts 001; Robert St. Amant (HotSoS, 2014)

Learning something from nothing: Leveraging implicit human feedback strategies. - Robert Tyler Loftin; Bei Peng 001; James MacGlashan; Michael L. Littman; Matthew E. Taylor; Jeff Huang 002; David L. Roberts 001 (RO-MAN, 2014)

Toward Cyber-Enhanced Working Dogs for Search and Rescue. - Alper Bozkurt; David L. Roberts 001; Barbara L. Sherman; Rita Brugarolas; Sean Mealin; John Majikes; Pu Yang; Robert Tyler Loftin (IEEE Intell. Syst., 2014)

Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences. - David L. Roberts 001; Charles L. Isbell Jr. (IEEE Trans. Comput. Intell. AI Games, 2014)

A Computational Model of Plan-Based Narrative Conflict at the Fabula Level. - Stephen G. Ware; Robert Michael Young; Brent E. Harrison; David L. Roberts 001 (IEEE Trans. Comput. Intell. AI Games, 2014)

Towards the non-visual monitoring of canine physiology in real-time by blind handlers. - Sean Mealin; Mike Winters; Ignacio X. Domínguez; Michelle Marrero-García; Alper Bozkurt; Barbara L. Sherman; David L. Roberts 001 (Advances in Computer Entertainment, 2015)

Knowledge engineering for unsupervised canine posture detection from IMU data. - Michael Winters; Rita Brugarolas; John Majikes; Sean Mealin; Sherrie Yuschak; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Advances in Computer Entertainment, 2015)

Detecting abnormal user behavior through pattern-mining input device analytics. - Ignacio X. Domínguez; Alok Goel; David L. Roberts 001; Robert St. Amant (HotSoS, 2015)

An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games. - Brent E. Harrison; David L. Roberts 001 (IEEE Trans. Comput. Intell. AI Games, 2015)

A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games. - Brent E. Harrison; Stephen G. Ware; Matthew William Fendt; David L. Roberts 001 (IEEE Trans. Emerg. Top. Comput., 2015)

Towards Behavior-Aware Model Learning from Human-Generated Trajectories. - Robert Tyler Loftin; James MacGlashan; Bei Peng 001; Matthew E. Taylor; Michael L. Littman; David L. Roberts 001 (AAAI Fall Symposia, 2016)

Semi-supervised classification of static canine postures using the Microsoft Kinect. - Sean Mealin; Ignacio X. Domínguez; David L. Roberts 001 (ACI, 2016)

A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. - Bei Peng 001; James MacGlashan; Robert Tyler Loftin; Michael L. Littman; David L. Roberts 001; Matthew E. Taylor (AAMAS, 2016)

Towards a wearable system for continuous monitoring of sniffing and panting in dogs. - Rita Brugarolas; M. Talha Agcayazi; Sherrie Yuschak; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (BSN, 2016)

The Mimesis Effect: The Effect of Roles on Player Choice in Interactive Narrative Role-Playing Games. - Ignacio X. Domínguez; Rogelio Enrique Cardona-Rivera; James K. Vance; David L. Roberts 001 (CHI, 2016)

Summarizing and Comparing Story Plans. - Adam Amos-Binks; David L. Roberts 001; Robert Michael Young (CMN, 2016)

Towards Unsupervised Canine Posture Classification via Depth Shadow Detection and Infrared Reconstruction for Improved Image Segmentation Accuracy. - Sean Mealin; Steven Howell; David L. Roberts 001 (Living Machines, 2016)

Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments. - John J. Majikes; Sean Mealin; Rita Brugarolas; Katherine Walker; Sherrie Yuschak; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Sarnoff Symposium, 2016)

Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. - Robert T. Loftin; Bei Peng 001; James MacGlashan; Michael L. Littman; Matthew E. Taylor; Jeff Huang 002; David L. Roberts 001 (Auton. Agents Multi Agent Syst., 2016)

Natural Interaction for Bot Detection. - Robert St. Amant; David L. Roberts 001 (IEEE Internet Comput., 2016)

Creating an Evaluation System for Future Guide Dogs: A Case Study of Designing for Both Human and Canine Needs. - Sean Mealin; Marc Foster; Katherine Walker; Sherrie Yuschak; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (ACI, 2017)

Predicting future states in DotA 2 using value-split models of time series attribute data. - Zach Cleghern; Soumendra Lahiri; Osman Y. Özaltin; David L. Roberts 001 (FDG, 2017)

Interactive Learning from Policy-Dependent Human Feedback. - James MacGlashan; Mark K. Ho; Robert Tyler Loftin; Bei Peng 001; Guan Wang; David L. Roberts 001; Matthew E. Taylor; Michael L. Littman (ICML, 2017)

Stimulus Control for Semi-autonomous Computer Canine-Training. - John J. Majikes; Sherrie Yuschak; Katherine Walker; Rita Brugarolas; Sean Mealin; Marc Foster; Alper Bozkurt; Barbara L. Sherman; David L. Roberts 001 (Living Machines, 2017)

Interactive Learning from Policy-Dependent Human Feedback. - James MacGlashan; Mark K. Ho; Robert Tyler Loftin; Bei Peng 001; David L. Roberts 001; Matthew E. Taylor; Michael L. Littman (CoRR, 2017)

Human Subtlety Proofs: Using Computer Games to Model Cognitive Processes for Cybersecurity. - Ignacio X. Domínguez; Prairie Rose Goodwin; David L. Roberts 001; Robert St. Amant (Int. J. Hum. Comput. Interact., 2017)

Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system. - John Majikes; Rita Brugarolas; Michael Winters; Sherrie Yuschak; Sean Mealin; Katherine Walker; Pu Yang; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Int. J. Hum. Comput. Stud., 2017)

3D-Printed Electrocardiogram Electrodes for Heart Rate Detection in Canines. - Marc Foster; Patrick D. Erb; Brenna Plank; Helen West; Jane Russenberger; Margaret Gruen; Michael A. Daniele; David L. Roberts 001; Alper Bozkurt (BioCAS, 2018)

A System for Assessment of Canine-Human Interaction during Animal-Assisted Therapies. - Marc Foster; Eric Beppler; Timothy Holder; James Dieffenderfer; Patrick D. Erb; Kristy Everette; Margaret Gruen; Tamara Somers; Tom Evans; Michael A. Daniele; David L. Roberts 001; Alper Bozkurt (EMBC, 2018)

Curriculum Design for Machine Learners in Sequential Decision Tasks. - Bei Peng 001; James MacGlashan; Robert Tyler Loftin; Michael L. Littman; David L. Roberts 001; Matthew E. Taylor (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

An IoT and Analytics Platform for Characterizing Adolescent Dogs' Suitability for Guide Work. - Zach Cleghern; Evan Williams; Sean Mealin; Marc Foster; Timothy Holder; Alper Bozkurt; David L. Roberts 001 (ACI, 2019)

Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. - Marc Foster; Tarik Agcayazi; M. Talha Agcayazi; Tianfu Wu 001; Margaret Gruen; David L. Roberts 001; Alper Bozkurt (ACI, 2019)

Predicting Guide Dog Temperament Evaluation Outcomes Using Raw ECG Signals. - Sean Mealin; Zach Cleghern; Marc Foster; Alper Bozkurt; David L. Roberts 001 (ACI, 2019)

Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN. - David L. Roberts 001; Jeremy Park; Anthony Pappas; Margaret Gruen; Megan Carson (ACI, 2019)

Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs. - Marc Foster; Sean Mealin; Margaret Gruen; David L. Roberts 001; Alper Bozkurt (IEEE SENSORS, 2019)

Interactive Learning of Environment Dynamics for Sequential Tasks. - Robert T. Loftin; Bei Peng 001; Matthew E. Taylor; Michael L. Littman; David L. Roberts 001 (CoRR, 2019)

Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. - Jianxun Wang 002; David L. Roberts 001; Andinet Enquobahrie (ACML, 2020)

Behavioral and Environmental Analytics from Potential Guide Dogs with IoT Sensor Data Informed by Expert Insight. - Zach Cleghern; Evan Williams; Sean Mealin; Marc Foster; Timothy Holder; Alper Bozkurt; David L. Roberts 001 (ACI, 2020)

Inertial Measurement Based Heart and Respiration Rate Estimation of Dogs During Sleep for Welfare Monitoring. - Marc Foster; Jianxun Wang 002; Evan Williams; David L. Roberts 001; Alper Bozkurt (ACI, 2020)

Using Inertial Measurement Unit Data for Objective Evaluations of Potential Guide Dogs. - Sean Mealin; Marc Foster; Zach Cleghern; Alper Bozkurt; David L. Roberts 001 (ACI, 2020)

A Smart Collar for Assessment of Activity Levels and Environmental Conditions for Guide Dogs. - Evan Williams; Zachary Cleghern; Marc Foster; Timothy Holder; David L. Roberts 001; Alper Bozkurt (EMBC, 2020)

ECG and Respiration Signal Reconstruction from an IMU at Various Orientations during Rest or Sleep for Dog Welfare Monitoring. - Marc Foster; Jianxun Wang 002; Evan Williams; David L. Roberts 001; Alper Bozkurt (ACI, 2021)

From Ideation to Deployment: A Narrative Case Study of Citizen Science Supported Wearables for Raising Guide Dogs. - Timothy Ricardo Nathaniel Holder; Evan Williams; Devon Martin; Alice Kligerman; Emily Summers; Zach Cleghern; James Dieffenderfer; Jane Russenberger; David L. Roberts 001; Alper Bozkurt (ACI, 2021)

A cloud data collection platform for canine behavioural prediction using objective sensor data. - Zachary Cleghern; Marc Foster; Sean Mealin; Evan Williams; Timothy Holder; Alper Bozkurt; David L. Roberts 001 (Int. J. Cloud Comput., 2021)

Motion-Resilient ECG Signal Reconstruction from a Wearable IMU through Attention Mechanism and Contrastive Learning. - Jianxun Wang 002; Marc Foster; Alper Bozkurt; David L. Roberts 001 (ACI, 2022)

Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions. - Timothy Holder; Mushfiqur Rahman; Emily Summers; David L. Roberts 001; Chau-Wai Wong; Alper Bozkurt (ACI, 2022)

Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation. - Devon Martin; Timothy Holder; Colt Nichols; Jeremy Park; David L. Roberts 001; Alper Bozkurt (ACI, 2022)

Spatial and Temporal Analytic Pipeline for Evaluation of Potential Guide Dogs Using Location and Behavior Data. - Yifan Wu 003; Timothy Holder; Marc Foster; Evan Williams; Masataka Enomoto; B. Duncan X. Lascelles; Alper Bozkurt; David L. Roberts 001 (ACI, 2022)

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. - Marc Foster; Tianfu Wu 001; David L. Roberts 001; Alper Bozkurt (Sensors, 2022)

Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions. - Timothy R. N. Holder; Colt Nichols; Emily Summers; David L. Roberts 001; Alper Bozkurt (ACI, 2023)

Toward In-the-Field Canine Manifold Learning: Data Fusion for Evaluation of Potential Guide Dogs. - Devon Martin; David L. Roberts 001; Alper Bozkurt (ACI, 2023)

An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs. - Yifan Wu 003; Colt Nichols; Marc Foster; Devon Martin; James Dieffenderfer; Masataka Enomoto; B. Duncan X. Lascelles; Jane Russenberger; Gerald Brenninkmeyer; Alper Bozkurt; David L. Roberts 001 (ACI, 2023)

The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). - Tim Menzies; Brittany Johnson; David L. Roberts 001; Lauren Alvarez (IEEE Softw., 2023)

Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). - Grant C. Forbes; David L. Roberts 001 (AAAI, 2024)

Automated Depth Sensing-Based Computer Vision for Dog Tail Wagging Interpretation. - Devon Martin; Jeremy Park; Megan Carson; Margaret Gruen; Alper Bozkurt; David L. Roberts 001 (ACI, 2024)

Wireless Tension Sensors for Characterizing Dog Frailty in Veterinary Settings. - Colt Nichols; Yifan Wu 003; Margaret Gruen; David L. Roberts 001; Alper Bozkurt (ACI, 2024)

A Design Proposal and Pilot Study for Addressing Welfare in Health Monitoring Practices in Commercial Fish Farms. - Alex Raposo; Janet Brock; Allison Abel; Mike Frinsko; David L. Roberts 001 (ACI, 2024)

Potential-Based Reward Shaping for Intrinsic Motivation. - Grant C. Forbes; Nitish Gupta; Leonardo Villalobos-Arias; Colin M. Potts; Arnav Jhala; David L. Roberts 001 (AAMAS, 2024)

Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards. - Grant C. Forbes; Leonardo Villalobos-Arias; Jianxun Wang 002; Arnav Jhala; David L. Roberts 001 (CoRR, 2024)

Autonomous Curriculum Design via Relative Entropy Based Task Modifications. - Muhammed Yusuf Satici; Jianxun Wang 002; David L. Roberts 001 (CoRR, 2025)

Reducing Reward Dependence in RL Through Adaptive Confidence Discounting. - Muhammed Yusuf Satici; David L. Roberts 001 (CoRR, 2025)

Action-Dependent Optimality-Preserving Reward Shaping. - Grant C. Forbes; Jianxun Wang 002; Leonardo Villalobos-Arias; Arnav Jhala; David L. Roberts 001 (CoRR, 2025)

Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors. - Leonardo Villalobos-Arias; Grant C. Forbes; Jianxun Wang 002; David L. Roberts 001; Arnav Jhala (CoRR, 2025)