Systems on chip (SoC) have much in common with traditional (networked) distributed systems in that they consist of largely independent components with dedicated communication inte...
—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...
Hybrid agent-based simulation is required to provide a mechanism for analyzing large-scale complex systems, such as the National Airspace System (NAS). The dynamic behavior of man...
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
The sample complexity of active learning under the realizability assumption has been well-studied. The realizability assumption, however, rarely holds in practice. In this paper, ...