| 2009 |
|---|
| 10 | EE | Scott Sanner,
Craig Boutilier:
Practical solution techniques for first-order MDPs.
Artif. Intell. 173(5-6): 748-788 (2009) |
| 2008 |
|---|
| 9 | EE | Robby Goetschalckx,
Scott Sanner,
Kurt Driessens:
Reinforcement Learning with the Use of Costly Features.
ECAI 2008: 779-780 |
| 8 | EE | Robby Goetschalckx,
Scott Sanner,
Kurt Driessens:
Reinforcement Learning with the Use of Costly Features.
EWRL 2008: 124-135 |
| 7 | EE | Robby Goetschalckx,
Kurt Driessens,
Scott Sanner:
Cost-Sensitive Parsimonious Linear Regression.
ICDM 2008: 809-814 |
| 2007 |
|---|
| 6 | | Scott Sanner,
Craig Boutilier:
Approximate Solution Techniques for Factored First-Order MDPs.
ICAPS 2007: 288-295 |
| 2006 |
|---|
| 5 | | Scott Sanner,
Sheila A. McIlraith:
An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-Order Extensions of Description Logic.
KR 2006: 100-111 |
| 4 | EE | Scott Sanner,
Craig Boutilier:
Practical Linear Value-approximation Techniques for First-order MDPs.
UAI 2006 |
| 2005 |
|---|
| 3 | EE | Scott Sanner,
David A. McAllester:
Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference.
IJCAI 2005: 1384-1390 |
| 2 | EE | Scott Sanner,
Craig Boutilier:
Approximate Linear Programming for First-order MDPs.
UAI 2005: 509-517 |
| 2000 |
|---|
| 1 | | Scott Sanner,
John R. Anderson,
Christian Lebiere,
Marsha C. Lovett:
Achieving Efficient and Cognitively Plausible Learning in Backgammon.
ICML 2000: 823-830 |
