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...
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...
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...
Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that portfolios of backtracking algorith...
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...