In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Abstract. We propose a static analysis framework for concurrent programs based on reduction of thread interleavings using sound invariants on the top of partial order techniques. S...
Abstract. Image segmentation in microscopy, especially in interferencebased optical microscopy modalities, is notoriously challenging due to inherent optical artifacts. We propose ...
This paper investigates the appearance manifold of facial expression: embedding image sequences of facial expression from the high dimensional appearance feature space to a low dim...
Abstract--Every congestion control protocol operating in wireless networks is potentially faced with two major challenges of performance degradation. These sources are (a) the coup...