Multi-Agent Deep Reinforcement Learning with Human Strategies

Deep learning has enabled traditional reinforcement learning methods to deal with high-dimensional problems. However, one of the disadvantages of deep reinforcement learning methods is the limited exploration capacity of learning agents. In this paper, we introduce an approach that integrates human strategies to increase the exploration capacity of multiple deep reinforcement learning agents. We also report the development of our own multi-agent environment called Multiple Tank Defence to simulate the proposed approach. The results show the significant performance improvement of multiple agents that have learned cooperatively with human strategies. This implies that there is a critical need for human intellect teamed with machines to solve complex problems. In addition, the success of this simulation indicates that our multi-agent environment can be used as a testbed platform to develop and validate other multi-agent control algorithms.Comment: 2019 IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australi

Development of a Planning and Analysis Tool for Wireless Mesh Network

The aim of this project, "Development of Wireless Mesh Network Planning and Analysis Tool", is to create a GUI-oriented modeler for wireless mesh network planning and analysis. The main purpose of network planning is to provide a costeffective solution in term of two objectives which are coverage and capacity. Network planning covers a wide range of issues from coverage (base station or access point) to core network system. It will develop a tool, using Java programming language, which provides functions to help users do planning setting up a desired wireless mesh network and also techniques to analyze the system

Institutional perspectives on implementing health information systems in developing countries: the case of electronic medical records (EMR) for children health in Vietnam

Research motivation: the research is motivated by the urgent need of electronic medical record (EMR) in developing countries to address major health problems. Theoretical backgrounds: concepts of institutional theories formal rules and informal constraints Research setting: the case of development and implementation of EMR for children in Ho Chi Minh city, Vietnam Research method: qualitative research tradition and comparative case study Analysis and findings: clinics where the system implemented are classified into two groups based on their level of successful implementation, the overlapping between formal rules and informal constraints are analyzed to identify social conditions that contribute to the differences in outcomes. Contributions: the paper contributes a practical guideline in building EMRs in resource constraint settings; it also helps to give better understanding on how the relation between formal rules and informal constraints affects the success or failure of EMRs implementation

Kenyon Collegian - May 25, 1938

https://digital.kenyon.edu/collegian/2786/thumbnail.jp

On a nonlinear heat equation associated with Dirichlet -- Robin conditions

This paper is devoted to the study of a nonlinear heat equation associated with Dirichlet-Robin conditions. At first, we use the Faedo -- Galerkin and the compactness method to prove existence and uniqueness results. Next, we consider the properties of solutions. We obtain that if the initial condition is bounded then so is the solution and we also get asymptotic behavior of solutions as. Finally, we give numerical resultsComment: 20 page