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AAAI
2006
13 years 10 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis
IJCAI
2003
13 years 10 months ago
Temporal Reasoning with Preferences and Uncertainty
Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
Neil Yorke-Smith, Kristen Brent Venable, Francesca...
ISLPED
2003
ACM
95views Hardware» more  ISLPED 2003»
14 years 2 months ago
Power-aware scheduling of conditional task graphs in real-time multiprocessor systems
We propose a novel power-aware task scheduling algorithm for DVS-enabled real-time multiprocessor systems. Unlike the existing algorithms, the proposed DVS algorithm can handle co...
Dongkun Shin, Jihong Kim
RTAS
2010
IEEE
13 years 7 months ago
Scheduling Self-Suspending Real-Time Tasks with Rate-Monotonic Priorities
Abstract—Recent results have shown that the feasibility problem of scheduling periodic tasks with self-suspensions is NPhard in the strong sense. We observe that a variation of t...
Karthik Lakshmanan, Ragunathan Rajkumar
IWCLS
2007
Springer
14 years 3 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull