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Regret-optimal policies in absorbing semi-Markov decision processes with multiple constraints(The Development of Information and Decision Processes)

机译：吸收具有多个约束的半马尔可夫决策过程的后悔最优策略（信息和决策过程的发展）

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Kadota Yoshinobu; Kurano Masami; Yasuda Masami;
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年度 2006
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1. Regret-optimal policies in absorbing semi-Markov decision processes with multiple constraints [J] . Yoshinobu Kadota, Masami Kurano, Masami Yasuda, 数理解析研究所讲究录 . 2006,第1504期

机译：吸收具有多个约束的半马尔可夫决策过程的后悔最优策略
2. THE MATTER OF DECISION-MAKING CONTROL OVER OPERATION PROCESSES OF MARINE POWER PLANT SYSTEMS WITH THE USE OF THEIR MODELS IN THE FORM OF SEMI-MARKOV DECISION-MAKING PROCESSES [J] . Girtler Jerzy, Rudnicki Jacek Polish Maritime Research . 2021,第1期

机译：在半岛决策过程中使用其模型的海洋发电厂系统运行过程的决策控制问题
3. On undiscounted semi-Markov decision processes with absorbing states [J] . Mondal Prasenjit Mathematical methods of operations research . 2016,第2期

机译：具有吸收状态的无折扣半马尔可夫决策过程
4. Finite horizon semi-Markov decision processes with multiple constraints [C] . Yonghui Huang World Congress on Intelligent Control and Automation . 2014

机译：具有多个约束的有限水平半马尔可夫决策过程
5. A New Reinforcement Learning Algorithm with Fixed Exploration for Semi-Markov Decision Processes [D] . Encapera, Angelo Michael. 2017

机译：半马尔可夫决策过程的固定探索新强化学习算法
6. Learning to maximize reward rate: a model based on semi-Markov decision processes [O] . Arash Khodadadi, Pegah Fakhari, Jerome R. Busemeyer 2014

机译：学习最大化奖励率：基于半马尔可夫决策过程的模型
7. Home > All Content > Vol 50, No 1 (2019) Exploring Research–Policy Partnerships in International Development Cover Page Edited by: James Georgalakis and Pauline Rose June 2019 Volume 50 Issue 1 This issue aims to identify how partnerships focused on the production of policy-engaged research seek to achieve societal impact and explores the challenges in these processes. The collaborations analysed span academia, civil society and government, from the grassroots to the national and global levels. By locating these examples within the broader debates on interactions between researchers and research users designed to strengthen evidence informed decision making, this publication offers concepts and practices to inform those funding, designing and undertaking development research. The featured case studies are explored through the perspectives of both researchers and their partners in civil society and policy. They are predominantly taken from a diverse portfolio of research projects funded through the UK’s Economic and Social Research Council (ESRC) and the Department for International Development (DFID) Strategic Partnership. A collaboration with the Impact Initiative, this IDS Bulletin is essential reading for all those in research organisations, development agencies and donors committed to the better use of evidence and learning for development. Exploring Research–Policy Partnerships in International Development James Georgalakis, Pauline Rose DOI: 10.19088/1968-2019.100 ABSTRACT FULL ISSUE PDF Foreword Diana Dalton DOI: 10.19088/1968-2019.102 ABSTRACT PDFONLINE ARTICLE Introduction: Identifying the Qualities of Research–Policy Partnerships in International Development – A New Analytical Framework James Georgalakis, Pauline Rose DOI: 10.19088/1968-2019.103 ABSTRACT PDFONLINE ARTICLE Rethinking Research Impact through Principles for Fair and Equitable Partnerships Kate Newman, Sowmyaa Bharadwaj, Jude Fransman DOI: 10.19088/1968-2019.104 ABSTRACT PDFONLINE ARTICLE Pathways to Impact: Insights from Research Partnerships in Uganda and India Rachel Hinton, Rona Bronwin, Laura Savage DOI: 10.19088/1968-2019.105 ABSTRACT PDFONLINE ARTICLE Exploring Partnerships between Academia and Disabled Persons’ Organisations: Lessons Learned from Collaborative Research in Africa Maria Kett, Mark T. Carew, John-Bosco Asiimwe, Richard Bwalya, Anderson Gitonga, Boakai A. Nyehn, Joyce Olenja, Leslie Swartz, Nora Groce DOI: 10.19088/1968-2019.106 ABSTRACT PDFONLINE ARTICLE Layered and Linking Research Partnerships: Learning from YOUR World Research in Ethiopia and Nepal Vicky Johnson, Anannia Admassu, Andrew Church, Jill Healey, Sujeeta Mathema DOI: 10.19088/1968-2019.107 ABSTRACT PDFONLINE ARTICLE Fundamental Challenges in Academic–Government Partnership in Conflict Research in the Pastoral Lowlands of Ethiopia Mercy Fekadu Mulugeta, Fana Gebresenbet, Yonas Tariku, Ekal Nettir DOI: 10.19088/1968-2019.108 ABSTRACT PDFONLINE ARTICLE Regional Research–Policy Partnerships for Health Equity and Inclusive Development: Reflections on Opportunities and Challenges from a Southern African Perspective [O] . Nicola Yeates, Themba Moeti, Mubita Luwabelwa 2019

机译：主页>所有内容> Vol 50，第1号（2019年）探索国际发展顾客的研究 - 政策伙伴关系：詹姆斯格拉巴拉斯和波雷琳上升2019年6月50卷第1卷这个问题旨在确定合作伙伴关系如何关注政策的生产。 - 繁殖的研究寻求实现社会影响并探索这些过程中的挑战。合作分析了跨度学术界，民间社会和政府，从基层到国家和全球层面。通过在研究人员和研究用户之间的相互作用的更广泛辩论中找到这些示例，旨在加强证据明智的决策，本出版物提供了通知这些资金，设计和开发研究的概念和实践。通过研究人员及其合作伙伴在民间社会和政策的角度来看，探讨了特色案例研究。它们主要从英国经济和社会研究委员会（ESRC）和国际发展部（DFID）战略伙伴部资助的各种研究项目组合中获取。与影响计划的合作，此IDS公告是研究组织，发展机构和捐助者致力于更好地利用证据和学习发展的所有人的重要阅读。探索研究 - 在国际发展中的研究 - 政策伙伴关系James Georgalakis，Pauline Rose Doi：10.19088 / 1968-2019.100 Abstract完整发行PDF前言戴安娜DALTON DOI：10.19088 / 1968-2019.102抽象PDFONLINE文章简介：确定国际发展中研究政策伙伴关系的质量 - 新的分析框架詹姆斯·乔治拉斯·罗琳·罗拉克斯：10.19088 / 1968-2019.103抽象Pdfonline文章通过公平和公平合作伙伴关系的原则重新思考研究影响凯特纽曼，Sowmyaa Bharadwaj，Jude Fransman Do：10.19088 / 1968-2019.104抽象Pdfonline文章途径影响：来自乌干达和印度Rachel Hinton，RONA Bronwin，Laura Bronwin的研究伙伴关系的见解：10.19088 / 1968-2019.105抽象的PDFonline文章探讨了学术界和残疾人士组织之间的伙伴关系：从非洲玛丽亚凯特的合作研究中吸取的经验教训。克鲁，约翰 - 博斯科阿斯蒂姆韦，理查德Bwalya，安德rson gitonga，Boakai A. Nyehn，Joyce Olenja，Leslie Swartz，Nora Groce Doi：10.19088 / 1968-2019.106 Abstract Pdfonline文章分层和链接研究合作伙伴关系：从您的世界研究中学习在埃塞俄比亚和尼泊尔Vicky Johnson，Anannia Admassu，安德鲁教堂的世界研究， JILL HEALELY，SUJETA MATHEMA DOI：10.19088 / 1968-2019.107抽象PDFONLINE文章在学术界政府伙伴关系中的基本挑战在冲突研究中埃塞俄比亚牧场的牧区牧场地区牧羊犬MULUGETA，宇瓦·塔利克（Ekal Nettir Doi：10.19088 / 1968-2019.108摘要PDFONLINE文章区域研究 - 健康股权和包容性发展的政策伙伴关系：关于南部非洲观点的机遇和挑战的思考
8. Markov Decision Processes with Policy Constraints. [R] . Nafeh, J. 1976

机译：具有策略约束的马尔可夫决策过程。

Regret-optimal policies in absorbing semi-Markov decision processes with multiple constraints(The Development of Information and Decision Processes)

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