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97
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AAAI
2006
15 years 2 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
111
Voted
IJCAI
2003
15 years 2 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...
122
Voted
ISLPED
2003
ACM
95views Hardware» more  ISLPED 2003»
15 years 6 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
14 years 11 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
15 years 6 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