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AAAI
2011
14 years 20 days ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
SODA
2008
ACM
185views Algorithms» more  SODA 2008»
15 years 2 months ago
Better bounds for online load balancing on unrelated machines
We study the problem of scheduling permanent jobs on unrelated machines when the objective is to minimize the Lp norm of the machine loads. The problem is known as load balancing ...
Ioannis Caragiannis
SAGT
2010
Springer
160views Game Theory» more  SAGT 2010»
14 years 11 months ago
How Do You Like Your Equilibrium Selection Problems? Hard, or Very Hard?
The PPAD-completeness of Nash equilibrium computation is taken as evidence that the problem is computationally hard in the worst case. This evidence is necessarily rather weak, in ...
Paul W. Goldberg
91
Voted
PEPM
2007
ACM
15 years 6 months ago
Poly-controlled partial evaluation in practice
Poly-Controlled Partial Evaluation (PCPE) is a powerful approach to partial evaluation, which has recently been proposed. PCPE takes into account sets of control strategies instea...
Claudio Ochoa, Germán Puebla
99
Voted
SIGSOFT
2003
ACM
16 years 1 months ago
Tracking pointers with path and context sensitivity for bug detection in C programs
This paper proposes a pointer alias analysis for automatic error detection. State-of-the-art pointer alias analyses are either too slow or too imprecise for finding errors in real...
V. Benjamin Livshits, Monica S. Lam