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"Ireland's revolution was an inherently transnational event. Buoyed by the rise of Wilsonian self-determination and the consequent weakening of imperial prestige, radical and anti-colonial movements flourished across the globe after the First World War. Although emerging from widely differing contexts, from Korea to India, and Egypt to Ireland, proponents of these movements communicated, engaged with, and learned from one another in anti-imperial metropoles such as Paris, London and New York. Irish nationalists at home and abroad were intimately involved in this international exchange, from mobilizing Ireland's vast diaspora in support of Irish independence, or engaging directly with radical causes elsewhere in the world, to providing models for other anti-colonial struggles. Reassessing the Irish Revolution within this transnational context, this volume broadens our understanding of Ireland's place in the evolving postwar world. Foregrounding how the ebbing of political authority from the imperial to democratic nation-state created revolutionary opportunities that were seized by anti-colonial activists, this study argues for the importance of empire, anti-imperialism and new understandings of self-determination in shaping political discourse and violence in revolutionary Ireland"--

Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via a simple linear combination. Such approaches may oversimplify the underlying problem and hence produce suboptimal results. This paper serves as a guide to the application of multi-objective methods to difficult problems, and is aimed at researchers who are already familiar with single-objective reinforcement learning and planning methods who wish to adopt a multi-objective perspective on their research, as well as practitioners who encounter multi-objective decision problems in practice. It identifies the factors that may influence the nature of the desired solution, and illustrates by example how these influence the design of multi-objective decision-making systems for complex problems. ; Funding: Fonds voor Wetenschappelijk Onderzoek (FWO)FWO [1SA2820N]; Flemish GovernmentEuropean Commission; FWOFWO [iBOF/21/027]; National University of Ireland Galway Hardiman Scholarship; FAPERGSFundacao de Amparo a Ciencia e Tecnologia do Estado do Rio Grande do Sul (FAPERGS) [19/2551-0001277-2]; FAPESPFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2020/05165-1]; Swedish Governmental Agency for Innovation SystemsVinnova [NFFP7/2017-04885]; Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation; LIFT - Dutch Research Council (NWO) [019.011]; 2017 Microsoft Research PhD Scholarship Program; 2020 Microsoft Research EMEA PhD Award