—This paper studies window flow control focusing on bridging the gap between microscopic factors such as burstiness in sub-RTT timescales, and observable macroscopic properties ...
Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, ...
We introduce the first approach that can actively control multiple hardware intellectual property (IP) cores used in an integrated circuit (IC). The IP rights owner(s) can remotel...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
When learning a classical instrument, people often either take lessons in which an existing body of “technique” is delivered, evolved over generations of performers, or in som...
Abstract-- In this paper, we investigate a cooperative estimation problem for visual sensor networks based on multiagent optimization techniques. A passivity-based visual motion ob...
Takeshi Hatanaka, Masayuki Fujita, Francesco Bullo