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DAGSTUHL
2007
13 years 10 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
APPROX
2008
Springer
127views Algorithms» more  APPROX 2008»
13 years 11 months ago
Approximating Single Machine Scheduling with Scenarios
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
Monaldo Mastrolilli, Nikolaus Mutsanas, Ola Svenss...
ATAL
2010
Springer
13 years 10 months ago
Alternating-time dynamic logic
We propose Alternating-time Dynamic Logic (ADL) as a multi-agent variant of Dynamic Logic in which atomic programs are replaced by coalitions. In ADL, the Dynamic Logic operators ...
Nicolas Troquard, Dirk Walther
IAT
2010
IEEE
13 years 6 months ago
Getting What You Pay For: Is Exploration in Distributed Hill Climbing Really Worth it?
Abstract--The Distributed Stochastic Algorithm (DSA), Distributed Breakout Algorithm (DBA), and variations such as Distributed Simulated Annealing (DSAN), MGM-1, and DisPeL, are di...
Melanie Smith, Roger Mailler
DAC
1998
ACM
14 years 9 months ago
Policy Optimization for Dynamic Power Management
Dynamic power management schemes (also called policies) can be used to control the power consumption levels of electronic systems, by setting their components in different states,...
Giuseppe A. Paleologo, Luca Benini, Alessandro Bog...