Browsing Other - School of Science, ATU Galway City by Title
Now showing items 1-8 of 8
-
Aquaculture with a Focus on Vietnam & Thailand
(TUNASIA, 2021)The breadth of material this book covers includes wide range of issues related to aquaculture production, including its development history, farming systems and technology aspects, seed production, feed and feeding, health ... -
Assessing the Potential of Drones to Take Water Samples and Physicochemical Data from Open Lakes
(Environmental Protection Agency, 2020-09)Water sampling remains a pivotal method for monitoring and understanding the condition of aquatic environments properly and effectively. Large-scale ecological water sampling and monitoring programmes require considerable ... -
Curriculum Learning for Tightly Coupled Multiagent Systems
(2019)In this paper,we leverage curriculum learning(CL) to improve the performance of multiagent systems(MAS) that are trained with the cooperative coevolution of artificial neural networks. We design curricula to progressively ... -
Multi-Agent Credit Assignment in Stochastic Resource Management Games
(2017-08)Multi-Agent Systems (MAS) are a form of distributed intelligence, where multiple autonomous agents act in a common environment. Numerous complex, real world systems have been successfully optimised using Multi-Agent ... -
Phlorotannins and Macroalgal Polyphenols: Potential As Functional Food Ingredients and Role in Health Promotion
(Springer, Singapore, 2018-01)Marine macroalgae are rapidly gaining recognition as a source of functional ingredients that can be used to promote health and prevent disease. There is accumulating evidence from in vitro studies, animal models, and ... -
Policy Invariance under Reward Transformations for Multi-Objective Reinforcement Learning
(2017)Reinforcement Learning (RL) is a powerful and well-studied Machine Learning paradigm, where an agent learns to improve its performance in an environment by maximising a reward signal. In multi-objective Reinforcement Learning ... -
Potential-Based Reward Shaping Preserves Pareto Optimal Policies
(2017-05)Reward shaping is a well-established family of techniques that have been successfully used to improve the performance and learning speed of Reinforcement Learning agents in singleobjective problems. Here we extend the ... -
Vulnerable road user detection: state-of-the-art and open challenges
(2019)Correctly identifying vulnerable road users (VRUs), e.g. cyclists and pedestrians, remains one of the most challenging environment perception tasks for autonomous vehicles (AVs). This work surveys the current state-of-the-art ...
