Robert William Wright

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Fish exert strong influences on shallow lakes, but managers lack empirical models useful for predicting fish distributions at landscape scales. We used classification and regression tree analysis (CART), and regression to predict fish presence/absence (P/A), richness, and community composition in 82 shallow lakes distributed among two regions (prairie and(More)
Over the past four decades, the concept of leadership has become increasingly more complex and elaborate. Considerable debate has emerged over the most suitable model for educational leadership. Dominating the literature are two conceptual models: instructional leadership and transformational leadership. This paper will review the conceptual and empirical(More)
High-frequency, thickness mode resonators were fabricated using a 7 microm piezoelectric transducer (PZT) thick film that was produced using a modified composite ceramic sol-gel process. Initial studies dealt with the integration of the PZT thick film onto the substrate. Zirconium oxide (ZrO2) was selected as a diffusion barrier layer and gave good results(More)
Reinforcement learning (RL) is designed to learn optimal control policies from unsupervised interactions with the environment. Many successful RL algorithms have been developed, however, none of them can efficiently tackle problems with high-dimensional state spaces due to the "curse of dimensionality," and so their applicability to real-world scenarios is(More)
Approximate value iteration methods for reinforcement learning (RL) generalize experience from limited samples across large stateaction spaces. The function approximators used in such methods typically introduce errors in value estimation which can harm the quality of the learned value functions. We present a new batch-mode, off-policy, approximate value(More)
Appyling reinforcement learning techniques in continuous environments is challenging because there are infinitely many states to visit in order to learn an optimal policy. To make this situation tractable, abstractions are often used to reduce the infinite state space down to a small and finite one. Some of the more powerful and commonplace abstractions,(More)