Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Effective high-level ATPG tools are increasingly needed, as an essential element in the quest for reducing as much as possible the designer work on gate-level descriptions. We pro...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Milenko Drinic UCLA Computer Science Dep. 4732 Boelter Hall Los Angeles, CA 90095-1596 milenko@cs.ucla.edu Darko Kirovski Microsoft Research One Microsoft Way Redmond, WA 98052 da...
This paper presents a novel architectural technique to hide fetch latency overhead of hardware encrypted and authenticated memory. A number of recent secure processor designs have...