Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
The explosive growth in the performance of microprocessors and networks has created a new opportunity to reduce the latency of fine-grain communication. Microprocessor clock speed...
In this paper, we argue that a broad range of large-scale network services would benefit from a scalable mechanism for delivering state about a random subset of global participan...
Dejan Kostic, Adolfo Rodriguez, Jeannie R. Albrech...
—Electronic Control Units (ECUs) are nowadays employed in automotives for discharging various functionalities within the vehicle. It has become the fundamental building block of ...