Commentary: Exploring Novel Approaches to Staff Rewards and Recognition

Exploring Under-appreciated Rewards

This paper presents a novel form of policy gradient for model-free reinforcement learning (RL) with improved exploration properties. Current policy-based methods use entropy regularization to encourage undirected exploration of the reward landscape, which is ineffective in high dimensional spaces with sparse rewards. We propose a more directed exploration strategy that promotes exploration of u...

Impact of Rewards and Recognition and Empowerment on Organizational Citizenship Behaviors among Technical Engineers

In the present scenario each and every industrial organization is surrounded by an unbrokenable mount known as competition. To subdue this arduous mount, organizations have to encourage the citizenship behavior among employees which enhance the success and effectiveness of an organization, because employees are often viewed as invaluable assets of organizations. As an evident of this, earlier s...

Illumination Invariant Novel Approaches for Face Recognition

Most of current identification and verification systems like access control and surveillance require reliable person identification technique. The primary goal of such systems is that resources are accessed only by legitimate users. Inefficient person identification systems may become vulnerable thereby allowing impostors. Under these circumstances biometric systems such as automated face recog...

Commentary: Deficient approaches to human neuroimaging

Commentary: three approaches to drug abuse genetics.

Several different lines of evidence now suggest substantial genetic influences on inter-individual differences in vulnerability to drug abuse (Uhl et al. 1994). The three proposed studies described by Comings, by Tsuang and Lyons, and by McGue, Lykken, and Iacono each approach issues relating to genetics of drug abuse vulnerability in ways that are distinctive and interesting. Moreover they app...