Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy

Deep reinforcement learning has shown great potential in training dialogue policies. However, its favorable performance comes at the cost of many rounds of interaction. Most of the existing dialogue policy methods rely on a single learning system, while the human brain has two specialized learning and memory systems, supporting to find good solutions without requiring copious examples. Inspired by the human brain, this paper proposes a novel complementary policy learning (CPL) framework, which exploits the complementary advantages of the episodic memory (EM) policy and the deep Q-network (DQN) policy to achieve fast and effective dialogue policy learning. In order to coordinate between the two policies, we proposed a confidence controller to control the complementary time according to their relative efficacy at different stages. Furthermore, memory connectivity and time pruning are proposed to guarantee the flexible and adaptive generalization of the EM policy in dialog tasks. Experimental results on three dialogue datasets show that our method significantly outperforms existing methods relying on a single learning system.

CoRT: Complementary Rankings from Transformers

Many recent approaches towards neural information retrieval mitigate their computational costs by using a multi-stage ranking pipeline. In the first stage, a number of potentially relevant candidates are retrieved using an efficient retrieval model such as BM25. Although BM25 has proven decent performance as a first-stage ranker, it tends to miss relevant passages. In this context we propose CoRT, a simple neural first-stage ranking model that leverages contextual representations from pretrained language models such as BERT to complement term-based ranking functions while causing no significant delay at query time. Using the MS MARCO dataset, we show that CoRT significantly increases the candidate recall by complementing BM25 with missing candidates. Consequently, we find subsequent re-rankers achieve superior results with less candidates. We further demonstrate that passage retrieval using CoRT can be realized with surprisingly low latencies.

A study of the effect of detection techniques in SAC-OCDMA system on the signal quality factor using the Optisystem

This research includes a simulation of optical code division multiple access system transceiver (OCDMA) of the spectral amplitude coding (SAC). The study investigates the effect of the pulse generator type used in the transmitter SAC-OCDMA of direct detection technique and the effect of the length of the optical fiber on the signal quality factor (Q) and on the bit error ratio( BER) . In addition a comparison is made between the SACOCDMA system of direct detection technique and another one of complementary subtraction technique in terms of signal quality factor and the bit error ratio when using the same parameters for both systems.

The Effects of complementary treatment on clinical outcome for preterm and low birth weight infant

Low birth weight and premature infant need complementary treatment intervention to promote optimal clinical outcome and to decrease the immediate adversities and developmental deficits associated with prematurity and intensive care unit environment. The purpose of this study was to investigate the effect of complementary treatment program on the clinical outcome for preterm and low birth weight infant. The study was conducted at the pediatric intensive care units of AL-Assad hospital and maternal &child hospital (lattakia). The sample was divided into two groups of 20 infants experimental croup and 10 infant control croup with gestational age less than 36 weeks at birth, birth weight less than 2500g and more than 1500 g, and no congenital anomalies. The clinical outcome was significantly improved in clinical outcome, while no change in the control group. The experimental group had significantly weight gain, higher scores for awake state and motor activity than the control group. Significantly greater fidgeting or crying, and increased motor activity. The results of this study advice to apply complementary treatment therapy because its affect in improve clinical outcome. Nursing staff can use complementary treatment to promote the infant's capability to respond positively to his environment and to provide developmental support for healthy premature infants