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ICML
2001
IEEE
16 years 1 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICCD
2005
IEEE
100views Hardware» more  ICCD 2005»
15 years 9 months ago
Power-Efficient Wakeup Tag Broadcast
The dynamic instruction scheduling logic is one of the most critical components of modern superscalar microprocessors, both from the delay and power dissipation standpoints. The d...
Joseph J. Sharkey, Kanad Ghose, Dmitry V. Ponomare...
124
Voted
IEEEARES
2008
IEEE
15 years 7 months ago
RTQG: Real-Time Quorum-based Gossip Protocol for Unreliable Networks
We consider scheduling real-time tasks in the presence of message loss and Byzantine node failures in unreliable networks. We present scheduling algorithms called RTQG and RTQG-B....
Bo Zhang, Kai Han, Binoy Ravindran, E. Douglas Jen...
93
Voted
ICTAI
2007
IEEE
15 years 7 months ago
On Portfolios for Backtracking Search in the Presence of Deadlines
Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that portfolios of backtracking algorith...
Huayue Wu, Peter van Beek
113
Voted
SAMOS
2007
Springer
15 years 6 months ago
Trade-Offs Between Voltage Scaling and Processor Shutdown for Low-Energy Embedded Multiprocessors
When peak performance is unnecessary, Dynamic Voltage Scaling (DVS) can be used to reduce the dynamic power consumption of embedded multiprocessors. In future technologies, however...
Pepijn J. de Langen, Ben H. H. Juurlink