298 citations
- Norfolk State UniversityUS3 papers
- California University of PennsylvaniaUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Georgia Institute of TechnologyUS2 papers
- Lawrence Livermore National LaboratoryUS2 papers
- NIST Center for Neutron ResearchUS2 papers
- Princeton UniversityUS2 papers
- Sandia National Laboratories CaliforniaUS2 papers
- University of MichiganUS2 papers
- University of PennsylvaniaUS2 papers
- University of WarsawPL2 papers
- University of Wisconsin–MadisonUS2 papers
16 papers · 1 filter
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games
Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich +1
In typical real-time strategy (RTS) games, enemy units are visible only when they are within sight range of a friendly unit. Knowledge of an opponent's disposition is limited to wh…
Active Imitation Learning via Reduction to I.I.D. Active Learning
Kshitij Judah, Alan Fern, Thomas G. Dietterich
In standard passive imitation learning, the goal is to learn a target policy by passively observing full execution trajectories of it. Unfortunately, generating such trajectories c…
Electronic and optical properties of potential solar absorber Cu3PSe4
D. H. Foster, V. Jieratum, R. Kykyneshi +2
We theoretically investigate the electronic and optical properties of semiconductor Cu3PSe4. We also report diffuse reflectance spectroscopy measurements for Cu3PSe4 and Cu3PS4, wh…
Learning Diagnostic Policies from Examples by Systematic Search
Valentina Bayer-Zubek
A diagnostic policy specifies what test to perform next, based on the results of previous tests, and when to stop and make a diagnosis. Cost-sensitive diagnostic policies perform t…
Learning from Sparse Data by Exploiting Monotonicity Constraints
Eric E. Altendorf, Angelo C. Restificar, Thomas G. Dietterich
When training data is sparse, more domain knowledge must be incorporated into the learning algorithm in order to reduce the effective size of the hypothesis space. This paper build…
Fractional Brownian Fields over Manifolds
Zachary Gelbaum
Extensions of the fractional Brownian fields are constructed over a complete Riemannian manifold. This construction is carried out for the full range of the Hurst parameter $α\in(0…