Distribution-Matching Multi-Agent Deployment for Coverage
Abstract: In this talk, we will delve into the multifaceted challenge of multi-agent deployment for critical applications such as area surveillance, wireless communication coverage, and…
Abstract: In this talk, we will delve into the multifaceted challenge of multi-agent deployment for critical applications such as area surveillance, wireless communication coverage, and…
Abstract: Hierarchical Clustering (HC) is a widely studied problem in unsupervised learning and exploratory data analysis, usually tackled by simple agglomerative procedures like average-linkage, single-linkage…
Abstract: Methods such as DeepCubeA have used deep reinforcement learning to learn domain-specific heuristic functions in a largely domain-independent fashion to solve planning problems. However,…
Abstract: The focus of this talk is on elections with approval ballots. Approval voting is a popular format that has been used extensively for committee selection…
Abstract: The inception of Bitcoin and blockchain has renewed the vision of a democratic and decentralized computational paradigm, that is, to ingrain integrity, transparency, and…
Abstract: Modern healthcare equipped with scientific studies and large-scale biomedical data has become a data-driven service. Based on personal medical records, physiological data, and personal…