David L. Roberts
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
11
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Action-Dependent Optimality-Preserving Reward Shaping. | Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David L. Roberts |
| 2024 | AAAI | Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). | Grant C. Forbes, David L. Roberts |
| 2020 | ACML | Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. | Jianxun Wang, David L. Roberts, Andinet Enquobahrie |
| 2017 | FDG | Predicting future states in DotA 2 using value-split models of time series attribute data. | Zach Cleghern, Soumendra Lahiri, Osman Y. zaltin, David L. Roberts |
| 2017 | ICML | Interactive Learning from Policy-Dependent Human Feedback. | James MacGlashan, Mark K. Ho, Robert Tyler Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman |
| 2016 | CHI | The Mimesis Effect: The Effect of Roles on Player Choice in Interactive Narrative Role-Playing Games. | Ignacio X. Domnguez, Rogelio Enrique Cardona-Rivera, James K. Vance, David L. Roberts |
| 2016 | BSN | Towards a wearable system for continuous monitoring of sniffing and panting in dogs. | Rita Brugarolas, M. Talha Agcayazi, Sherrie Yuschak, David L. Roberts, Barbara L. Sherman, Alper Bozkurt |
| 2014 | AAAI | A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback. | Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts |
| 2014 | FDG | Identifying patterns in combat that are predictive of success in MOBA games. | Pu Yang, Brent E. Harrison, David L. Roberts |
| 2014 | RO-MAN | Learning something from nothing: Leveraging implicit human feedback strategies. | Robert Tyler Loftin, Bei Peng, James MacGlashan, Michael L. Littman, Matthew E. Taylor, Jeff Huang, David L. Roberts |
| 2013 | FIE | A community college blended learning classroom experience through Artificial Intelligence in Games. | Titus Barik, Michael Everett, Rogelio Enrique Cardona-Rivera, David L. Roberts, Edward F. Gehringer |
| 2013 | BSN | Behavior recognition based on machine learning algorithms for a wireless canine machine interface. | Rita Brugarolas, Robert T. Loftin, Pu Yang, David L. Roberts, Barbara L. Sherman, Alper Bozkurt |
| 2012 | ICIDS | Achieving the Illusion of Agency. | Matthew William Fendt, Brent E. Harrison, Stephen G. Ware, Rogelio Cardona-Rivera, David L. Roberts |
| 2012 | ICIDS | Four Quantitative Metrics Describing Narrative Conflict. | Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts |
| 2011 | FDG | Using sequential observations to model and predict player behavior. | Brent E. Harrison, David L. Roberts |
| 2011 | ICIDS | A Method for Transferring Probabilistic User Models between Environments. | David L. Roberts, Fred S. Roberts |
| 2009 | DIGRA | Beyond Adversarial: The Case for Game AI as Storytelling. | David L. Roberts, Mark O. Riedl, Charles L. Isbell Jr. |
| 2009 | SIGGRAPH | Using influence and persuasion to shape player experiences. | David L. Roberts, Merrick L. Furst, Brian Dorn, Charles L. Isbell Jr. |
| 2008 | AAAI | Computational Influence for Training and Entertainment. | David L. Roberts |
| 2008 | ICIDS | On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. | David L. Roberts, Charles Lee Isbell Jr., Mark O. Riedl, Ian Bogost, Merrick L. Furst |
| 2007 | AAAI | Authorial Idioms for Target Distributions in TTD-MDPs. | David L. Roberts, Sooraj Bhat, Kenneth St. Clair, Charles Lee Isbell Jr. |
| 2006 | AAAI | Targeting Specific Distributions of Trajectories in MDPs. | David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman |