Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
—Cognitive radio (CR) is seen as one of the revolutionary techniques for future spectrum utilization. The first and probably the most challenging task for CR is to detect/sense t...
Abstract— LDP (Locally Distributed Predicates) is a distributed, high-level language for programming modular reconfigurable robot systems (MRRs). In this paper we present the im...
Michael DeRosa, Seth Copen Goldstein, Peter Lee, P...
In this paper, we concentrate on distributed algorithms for automated synthesis of fault-tolerant programs in the high atomicity model, where all processes can read and write all p...
Borzoo Bonakdarpour, Sandeep S. Kulkarni, Fuad Abu...
Workstation clusters are becoming an interesting alternative to dedicated multiprocessors. In this environment, the probability of a failure, during an application's executio...