David L. Roberts

110 papers A* 8A 7B 1C 13Journal 26Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	General Flexible CoRR Jianxun Wang, Grant C. Forbes, Leonardo Villalobos-Arias, David L. Roberts
2025	A*	`conf`	Action-Dependent Optimality-Preserving Reward Shaping. ICML Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David L. Roberts
2025	J	`jnl`	Action-Dependent Optimality-Preserving Reward Shaping. CoRR Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David L. Roberts
2025	—	`conf`	An Integrated Wearable Sensor System for Simultaneous Pull and Pace Characterization in Guide Dogs. ACI Colt Nichols, Yifan Wu, Eleanor McNamee, Curtis Greene, Margaret Gruen, Jane Russenberger, Gerald Brenninkmeyer, David L. Roberts, Alper Bozkurt
2025	J	`jnl`	Autonomous Curriculum Design via Relative Entropy Based Task Modifications. CoRR Muhammed Yusuf Satici, Jianxun Wang, David L. Roberts
2025	J	`jnl`	Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors. CoRR Leonardo Villalobos-Arias, Grant C. Forbes, Jianxun Wang, David L. Roberts, Arnav Jhala
2025	J	`jnl`	Reducing Reward Dependence in RL Through Adaptive Confidence Discounting. CoRR Muhammed Yusuf Satici, David L. Roberts
2025	—	`conf`	Toward Automated Pain Evaluation in Osteoarthritic Dogs Through Inertial Data and Machine Learning. ACI Yifan Wu, Jianxun Wang, B. Duncan X. Lascelles, Masataka Enomoto, Alper Bozkurt, David L. Roberts
2024	—	`conf`	A Design Proposal and Pilot Study for Addressing Welfare in Health Monitoring Practices in Commercial Fish Farms. ACI Alex Raposo, Janet Brock, Allison Abel, Mike Frinsko, David L. Roberts
2024	—	`conf`	Automated Depth Sensing-Based Computer Vision for Dog Tail Wagging Interpretation. ACI Devon Martin, Jeremy Park, Megan Carson, Margaret Gruen, Alper Bozkurt, David L. Roberts
2024	J	`jnl`	Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards. CoRR Grant C. Forbes, Leonardo Villalobos-Arias, Jianxun Wang, Arnav Jhala, David L. Roberts
2024	J	`jnl`	Potential-Based Reward Shaping For Intrinsic Motivation. CoRR Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024	A*	`conf`	Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). AAAI Grant C. Forbes, David L. Roberts
2024	A	`conf`	Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024	—	`conf`	Wireless Tension Sensors for Characterizing Dog Frailty in Veterinary Settings. ACI Colt Nichols, Yifan Wu, Margaret Gruen, David L. Roberts, Alper Bozkurt
2023	—	`conf`	An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs. ACI Yifan Wu, Colt Nichols, Marc Foster, Devon Martin, James Dieffenderfer, Masataka Enomoto, B. Duncan X. Lascelles, Jane Russenberger, Gerald Brenninkmeyer, Alper Bozkurt, David L. Roberts
2023	J	`jnl`	The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). IEEE Softw. Tim Menzies, Brittany Johnson, David L. Roberts, Lauren Alvarez
2023	—	`conf`	Toward In-the-Field Canine Manifold Learning: Data Fusion for Evaluation of Potential Guide Dogs. ACI Devon Martin, David L. Roberts, Alper Bozkurt
2023	—	`conf`	Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions. ACI Timothy R. N. Holder, Colt Nichols, Emily Summers, David L. Roberts, Alper Bozkurt
2022	—	`conf`	Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation. ACI Devon Martin, Timothy Holder, Colt Nichols, Jeremy Park, David L. Roberts, Alper Bozkurt
2022	—	`conf`	Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions. ACI Timothy Holder, Mushfiqur Rahman, Emily Summers, David L. Roberts, Chau-Wai Wong, Alper Bozkurt
2022	—	`conf`	Motion-Resilient ECG Signal Reconstruction from a Wearable IMU through Attention Mechanism and Contrastive Learning. ACI Jianxun Wang, Marc Foster, Alper Bozkurt, David L. Roberts
2022	J	`jnl`	Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs. Sensors Marc Foster, Tianfu Wu, David L. Roberts, Alper Bozkurt
2022	—	`conf`	Spatial and Temporal Analytic Pipeline for Evaluation of Potential Guide Dogs Using Location and Behavior Data. ACI Yifan Wu, Timothy Holder, Marc Foster, Evan Williams, Masataka Enomoto, B. Duncan X. Lascelles, Alper Bozkurt, David L. Roberts
2021	J	`jnl`	A cloud data collection platform for canine behavioural prediction using objective sensor data. Int. J. Cloud Comput. Zachary Cleghern, Marc Foster, Sean Mealin, Evan Williams, Timothy Holder, Alper Bozkurt, David L. Roberts
2021	—	`conf`	ECG and Respiration Signal Reconstruction from an IMU at Various Orientations during Rest or Sleep for Dog Welfare Monitoring. ACI Marc Foster, Jianxun Wang, Evan Williams, David L. Roberts, Alper Bozkurt
2021	—	`conf`	From Ideation to Deployment: A Narrative Case Study of Citizen Science Supported Wearables for Raising Guide Dogs. ACI Timothy Ricardo Nathaniel Holder, Evan Williams, Devon Martin, Alice Kligerman, Emily Summers, Zach Cleghern, James Dieffenderfer, Jane Russenberger, David L. Roberts, Alper Bozkurt
2020	—	`conf`	A Smart Collar for Assessment of Activity Levels and Environmental Conditions for Guide Dogs. EMBC Evan Williams, Zachary Cleghern, Marc Foster, Timothy Holder, David L. Roberts, Alper Bozkurt
2020	—	`conf`	Behavioral and Environmental Analytics from Potential Guide Dogs with IoT Sensor Data Informed by Expert Insight. ACI Zach Cleghern, Evan Williams, Sean Mealin, Marc Foster, Timothy Holder, Alper Bozkurt, David L. Roberts
2020	—	`conf`	Inertial Measurement Based Heart and Respiration Rate Estimation of Dogs During Sleep for Welfare Monitoring. ACI Marc Foster, Jianxun Wang, Evan Williams, David L. Roberts, Alper Bozkurt
2020	C	`conf`	Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. ACML Jianxun Wang, David L. Roberts, Andinet Enquobahrie
2020	—	`conf`	Using Inertial Measurement Unit Data for Objective Evaluations of Potential Guide Dogs. ACI Sean Mealin, Marc Foster, Zach Cleghern, Alper Bozkurt, David L. Roberts
2019	—	`conf`	An IoT and Analytics Platform for Characterizing Adolescent Dogs' Suitability for Guide Work. ACI Zach Cleghern, Evan Williams, Sean Mealin, Marc Foster, Timothy Holder, Alper Bozkurt, David L. Roberts
2019	—	`conf`	Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN. ACI David L. Roberts, Jeremy Park, Anthony Pappas, Margaret Gruen, Megan Carson
2019	J	`jnl`	Interactive Learning of Environment Dynamics for Sequential Tasks. CoRR Robert T. Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
2019	—	`conf`	Predicting Guide Dog Temperament Evaluation Outcomes Using Raw ECG Signals. ACI Sean Mealin, Zach Cleghern, Marc Foster, Alper Bozkurt, David L. Roberts
2019	—	`conf`	Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities. ACI Marc Foster, Tarik Agcayazi, M. Talha Agcayazi, Tianfu Wu, Margaret Gruen, David L. Roberts, Alper Bozkurt
2019	—	`conf`	Preliminary Evaluation of a Wearable Sensor System for Assessment of Heart Rate, Heart Rate Variability, and Activity Level in Working Dogs. IEEE SENSORS Marc Foster, Sean Mealin, Margaret Gruen, David L. Roberts, Alper Bozkurt
2018	—	`conf`	3D-Printed Electrocardiogram Electrodes for Heart Rate Detection in Canines. BioCAS Marc Foster, Patrick D. Erb, Brenna Plank, Helen West, Jane Russenberger, Margaret Gruen, Michael A. Daniele, David L. Roberts, Alper Bozkurt
2018	—	`conf`	A System for Assessment of Canine-Human Interaction during Animal-Assisted Therapies. EMBC 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, Alper Bozkurt
2018	J	`jnl`	Curriculum Design for Machine Learners in Sequential Decision Tasks. IEEE Trans. Emerg. Top. Comput. Intell. Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2017	J	`jnl`	Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system. Int. J. Hum. Comput. Stud. John Majikes, Rita Brugarolas, Michael Winters, Sherrie Yuschak, Sean Mealin, Katherine Walker, Pu Yang, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
2017	—	`conf`	Creating an Evaluation System for Future Guide Dogs: A Case Study of Designing for Both Human and Canine Needs. ACI Sean Mealin, Marc Foster, Katherine Walker, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
2017	A	`conf`	Curriculum Design for Machine Learners in Sequential Decision Tasks. AAMAS Bei Peng, James MacGlashan, Robert T. Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2017	J	`jnl`	Human Subtlety Proofs: Using Computer Games to Model Cognitive Processes for Cybersecurity. Int. J. Hum. Comput. Interact. Ignacio X. Domínguez, Prairie Rose Goodwin, David L. Roberts, Robert St. Amant
2017	A*	`conf`	Interactive Learning from Policy-Dependent Human Feedback. ICML James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman
2017	J	`jnl`	Interactive Learning from Policy-Dependent Human Feedback. CoRR James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, David L. Roberts, Matthew E. Taylor, Michael L. Littman
2017	C	`conf`	Predicting future states in DotA 2 using value-split models of time series attribute data. FDG Zach Cleghern, Soumendra Lahiri, Osman Y. Özaltin, David L. Roberts
2017	—	`conf`	Stimulus Control for Semi-autonomous Computer Canine-Training. Living Machines John J. Majikes, Sherrie Yuschak, Katherine Walker, Rita Brugarolas, Sean Mealin, Marc Foster, Alper Bozkurt, Barbara L. Sherman, David L. Roberts
2016	A	`conf`	A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. AAMAS Bei Peng, James MacGlashan, Robert Tyler Loftin, Michael L. Littman, David L. Roberts, Matthew E. Taylor
2016	J	`jnl`	Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Auton. Agents Multi Agent Syst. Robert T. Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
2016	J	`jnl`	Natural Interaction for Bot Detection. IEEE Internet Comput. Robert St. Amant, David L. Roberts
2016	—	`conf`	Semi-supervised classification of static canine postures using the Microsoft Kinect. ACI Sean Mealin, Ignacio X. Domínguez, David L. Roberts
2016	—	`conf`	Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments. Sarnoff Symposium John J. Majikes, Sean Mealin, Rita Brugarolas, Katherine Walker, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
2016	—	`conf`	Summarizing and Comparing Story Plans. CMN Adam Amos-Binks, David L. Roberts, Robert Michael Young
2016	A*	`conf`	The Mimesis Effect: The Effect of Roles on Player Choice in Interactive Narrative Role-Playing Games. CHI Ignacio X. Domínguez, Rogelio Enrique Cardona-Rivera, James K. Vance, David L. Roberts
2016	—	`conf`	Towards Behavior-Aware Model Learning from Human-Generated Trajectories. AAAI Fall Symposia Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts
2016	—	`conf`	Towards Unsupervised Canine Posture Classification via Depth Shadow Detection and Infrared Reconstruction for Improved Image Segmentation Accuracy. Living Machines Sean Mealin, Steven Howell, David L. Roberts
2016	C	`conf`	Towards a wearable system for continuous monitoring of sniffing and panting in dogs. BSN Rita Brugarolas, M. Talha Agcayazi, Sherrie Yuschak, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
2015	J	`jnl`	A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games. IEEE Trans. Emerg. Top. Comput. Brent E. Harrison, Stephen G. Ware, Matthew William Fendt, David L. Roberts
2015	J	`jnl`	An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games. IEEE Trans. Comput. Intell. AI Games Brent E. Harrison, David L. Roberts
2015	—	`conf`	Detecting abnormal user behavior through pattern-mining input device analytics. HotSoS Ignacio X. Domínguez, Alok Goel, David L. Roberts, Robert St. Amant
2015	C	`conf`	Knowledge engineering for unsupervised canine posture detection from IMU data. Advances in Computer Entertainment Michael Winters, Rita Brugarolas, John Majikes, Sean Mealin, Sherrie Yuschak, Barbara L. Sherman, Alper Bozkurt, David L. Roberts
2015	C	`conf`	Towards the non-visual monitoring of canine physiology in real-time by blind handlers. Advances in Computer Entertainment Sean Mealin, Mike Winters, Ignacio X. Domínguez, Michelle Marrero-García, Alper Bozkurt, Barbara L. Sherman, David L. Roberts
2014	J	`jnl`	A Computational Model of Plan-Based Narrative Conflict at the Fabula Level. IEEE Trans. Comput. Intell. AI Games Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts
2014	A*	`conf`	A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. AAAI Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts
2014	—	`conf`	Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. AIIDE Brent Edward Harrison, David L. Roberts
2014	—	`conf`	Exploring key-level analytics for computational modeling of typing behavior. HotSoS Arpan Chakraborty, Brent E. Harrison, Pu Yang, David L. Roberts, Robert St. Amant
2014	—	`conf`	Foreseeing Meaningful Choices. AIIDE Rogelio Enrique Cardona-Rivera, Justus Robertson, Stephen G. Ware, Brent E. Harrison, David L. Roberts, Robert Michael Young
2014	C	`conf`	Identifying patterns in combat that are predictive of success in MOBA games. FDG Pu Yang, Brent E. Harrison, David L. Roberts
2014	B	`conf`	Learning something from nothing: Leveraging implicit human feedback strategies. RO-MAN Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts
2014	J	`jnl`	Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences. IEEE Trans. Comput. Intell. AI Games David L. Roberts, Charles L. Isbell Jr.
2014	J	`jnl`	Toward Cyber-Enhanced Working Dogs for Search and Rescue. IEEE Intell. Syst. Alper Bozkurt, David L. Roberts, Barbara L. Sherman, Rita Brugarolas, Sean Mealin, John Majikes, Pu Yang, Robert Tyler Loftin
2013	C	`conf`	A community college blended learning classroom experience through Artificial Intelligence in Games. FIE Titus Barik, Michael Everett, Rogelio Enrique Cardona-Rivera, David L. Roberts, Edward F. Gehringer
2013	—	`conf`	Analytics-driven dynamic game adaption for player retention in Scrabble. CIG Brent E. Harrison, David L. Roberts
2013	C	`conf`	Behavior recognition based on machine learning algorithms for a wireless canine machine interface. BSN Rita Brugarolas, Robert T. Loftin, Pu Yang, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
2013	—	`conf`	Evaluating the Use of Action Templates to Create Suspense in Narrative Planning. Intelligent Narrative Technologies Matthew William Fendt, David L. Roberts, R. Michael Young
2013	—	`conf`	Knowledge discovery for characterizing team success or failure in (A)RTS games. CIG Pu Yang, David L. Roberts
2012	—	`conf`	A Formal Game for Eliciting Story Structure from Authors. INT@AIIDE David L. Roberts, Andrew Hansen
2012	C	`conf`	Achieving the Illusion of Agency. ICIDS Matthew William Fendt, Brent E. Harrison, Stephen G. Ware, Rogelio Cardona-Rivera, David L. Roberts
2012	C	`conf`	Four Quantitative Metrics Describing Narrative Conflict. ICIDS Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts
2012	—	`conf`	Posture estimation for a canine machine interface based training system. EMBC Rita Brugarolas, David L. Roberts, Barbara L. Sherman, Alper Bozkurt
2012	—	`conf`	Spatial Game Signatures for Bot Detection in Social Games. AIIDE Titus Barik, Brent E. Harrison, David L. Roberts, Xuxian Jiang
2012	—	`conf`	When Players Quit (Playing Scrabble). AIIDE Brent E. Harrison, David L. Roberts
2011	C	`conf`	A Method for Transferring Probabilistic User Models between Environments. ICIDS David L. Roberts, Fred S. Roberts
2011	—	`conf`	DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. AIIDE Karthik Sankaran Narayan, Charles Lee Isbell Jr., David L. Roberts
2011	—	`conf`	Initial Results for Measuring Four Dimensions of Narrative Conflict. Intelligent Narrative Technologies Stephen G. Ware, Brent E. Harrison, Robert Michael Young, David L. Roberts
2011	—	`conf`	Seven Design Challenges for Fully-realized Experience Management. Intelligent Narrative Technologies David L. Roberts
2011	C	`conf`	Using sequential observations to model and predict player behavior. FDG Brent E. Harrison, David L. Roberts
2010	—	`—`	Computational techniques for reasoning about and shaping player experiences in interactive narratives. David L. Roberts
2009	—	`conf`	Beyond Adversarial: The Case for Game AI as Storytelling. DiGRA Conference David L. Roberts, Mark O. Riedl, Charles L. Isbell Jr.
2009	—	`conf`	Learning to Influence Emotional Responses for Interactive Storytelling. AAAI Spring Symposium: Intelligent Narrative Technologies II David L. Roberts, Harikrishna Narayanan, Charles L. Isbell Jr.
2009	—	`conf`	Organizing Committee. AAAI Spring Symposium: Intelligent Narrative Technologies II Sandy Louchart, Manish Mehta, David L. Roberts
2009	—	`conf`	Preface. AAAI Spring Symposium: Intelligent Narrative Technologies II Sandy Louchart, Manish Mehta, David L. Roberts
2009	J	`jnl`	Reports of the AAAI 2009 Spring Symposia. AI Mag. Jie Bao, Uldis Bojars, Tanzeem Choudhury, Li Ding, Mark Greaves, Ashish Kapoor, Sandy Louchart, Manish Mehta, Bernhard Nebel, Sergei Nirenburg, Tim Oates, David L. Roberts, Antonio Sanfilippo, Nenad Stojanovic, Kristen Stubbs, Andrea Lockerd Thomaz, Katherine M. Tsui, Stefan Wölfl
2009	—	`conf`	Using influence and persuasion to shape player experiences. Sandbox@SIGGRAPH David L. Roberts, Merrick L. Furst, Brian Dorn, Charles L. Isbell Jr.
2008	A*	`conf`	Computational Influence for Training and Entertainment. AAAI David L. Roberts
2008	J	`jnl`	Locating sensors in paths and cycles: The case of 2-identifying codes. Eur. J. Comb. David L. Roberts, Fred S. Roberts
2008	C	`conf`	On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. ICIDS David L. Roberts, Charles Lee Isbell Jr., Mark O. Riedl, Ian Bogost, Merrick L. Furst
2008	J	`jnl`	Optimization problems involving collections of dependent objects. Ann. Oper. Res. David L. Roberts, Charles L. Isbell Jr., Michael L. Littman
2007	A	`conf`	A globally optimal algorithm for TTD-MDPs. AAMAS Sooraj Bhat, David L. Roberts, Mark J. Nelson, Charles L. Isbell Jr., Michael Mateas
2007	A*	`conf`	Authorial Idioms for Target Distributions in TTD-MDPs. AAAI David L. Roberts, Sooraj Bhat, Kenneth St. Clair, Charles Lee Isbell Jr.
2007	A	`conf`	Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs. AAMAS Andrew S. Cantino, David L. Roberts, Charles L. Isbell Jr.
2007	—	`conf`	Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides. AIIDE David L. Roberts, Andrew S. Cantino, Charles Lee Isbell Jr.
2007	—	`conf`	Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes. AAAI Fall Symposium: Intelligent Narrative Technologies David L. Roberts, Christina R. Strong, Charles L. Isbell Jr.
2006	—	`conf`	A Position Paper: Value of Information for Evidence Detection. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection David L. Roberts, Tina Eliassi-Rad
2006	A	`conf`	A decision-theoretic approach to file consistency in constrained peer-to-peer device networks. AAMAS David L. Roberts, Sooraj Bhat, Charles Lee Isbell Jr., Brian F. Cooper, Jeffrey S. Pierce
2006	J	`jnl`	Declarative Optimization-Based Drama Management in Interactive Fiction. IEEE Computer Graphics and Applications Mark J. Nelson, Michael Mateas, David L. Roberts, Charles Lee Isbell Jr.
2006	A	`conf`	Reinforcement learning for declarative optimization-based drama management. AAMAS Mark J. Nelson, David L. Roberts, Charles Lee Isbell Jr., Michael Mateas
2006	A*	`conf`	Targeting Specific Distributions of Trajectories in MDPs. AAAI David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman