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This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing schemes centre around scheduling the nodes' sleep and active periods as means of minimising the energy consumption. Recent protocols employ adaptive duty cycles as means of further(More)
— This paper presents a framework for obtaining an optimal policy in model-free Partially Observable Markov Decision Problems (POMDPs) using a recurrent neural network (RNN). A Q-function approximation approach is taken, utilizing a novel RNN architecture with computation and storage requirements that are dramatically reduced when compared to existing(More)
— This paper introduces RL-MAC, a novel adaptive media access control (MAC) protocol for wireless sensor networks (WSN) that employs a reinforcement learning framework. Existing schemes center around scheduling the nodes' sleep and active periods as means of minimizing the energy consumption. Recent protocols employ adaptive duty cycles as means of further(More)
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algorithm, whereby the sensitivity set of each neuron is reduced to weights associated with either its input or output links. This yields a reduced storage and computational complexity(More)
PURPOSE Epidemiological studies suggest that dietary intake of lutein and zeaxanthin is inversely related to the risk for senile cataract. The objectives of this work were to investigate the mechanisms by which these nutrients provide anti-cataract effects. We evaluated their modulation of oxidative damage in human lens epithelial cells (HLEC) and their(More)
In pregnancy, trophoblast invasion and uterine spiral artery remodelling are important for lowering maternal vascular resistance and increasing uteroplacental blood flow. Impaired spiral artery remodelling has been implicated in pre-eclampsia, a major complication of pregnancy, for a long time but the underlying mechanisms remain unclear. Corin (also known(More)
BACKGROUND Factors responsible for invasive and metastatic progression of prostate cancer (PCa) remain largely unknown. Previously, we reported cloning of prosaposin (PSAP) and its genomic amplification and/or overexpression in several androgen-independent metastatic PCa cell lines and lymph node metastases. PSAP is the lysosomal precursor of saposins,(More)
Practical problems in artificial intelligence often involve both large state and/or action spaces where only partial information is available to the agent. In high-dimensional cases, function approximation methods, such as neural networks, are often used to overcome limitations of traditional tabu-lar schemes. In the context of reinforcement learning, the(More)
CD200 is a cell surface glycoprotein that functions through engaging CD200 receptor on cells of the myeloid lineage and inhibits their functions. Expression of CD200 has been implicated in a variety of human cancer cells including melanoma cells and has been thought to play a protumor role. To investigate the role of cancer cell expression of CD200 in tumor(More)