Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
—In this paper, we study the capacity-achieving input covariance matrices for the jointly-correlated (or the Weichselberger) Rician fading multiple-input multiple-output (MIMO) a...
Chao-Kai Wen, Shi Jin, Kai-Kit Wong, Jung-Chieh Ch...
The integration of environmental models and Geographical Information Systems (GIS) usually takes two approaches: loose coupling and tight coupling. This paper, however, presents a...
In this paper, an instruction-level energy model is proposed for the data-path of very long instruction word (VLIW) pipelined processors that can be used to provide accurate power ...