Abstract. In this paper, we consider two new online optimization problems (each with several variants), present similar online algorithms for both, and show that one reduces to the...
Grid technologies are emerging as the next generation of distributed computing, allowing the aggregation of resources that are geographically distributed across different location...
Abstract—Interactive TCP applications, such as Telnet and the Web, are particularly sensitive to network congestion. Indeed, congestion-induced queuing and packet loss can be a s...
With the advent of system-on-a-chip design, many application specific integrated circuits (ASICs) now require multiple design clocks that operate asynchronously to each other. This...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...