Reconfigurable systems can offer the high spatial parallelism and fine-grained, bit-level resource control traditionally associated with hardware implementations, along with the f...
The need for sharing is well known in a large number of distributed applications. These applications are difficult to develop either for fully wired or mobile wireless networks. ...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Autonomous systems operating in real-world environments must plan, schedule, and execute missions while robustly adapting to uncertainty and disturbance. One way to mitigate the e...
Peer-to-Peer (P2P) systems share and manage huge amounts of data and resources distributed across a large number of machines. In pure P2P environments the control is totally decent...