01904oam 2200529I 450 991070457710332120190123131123.0(CKB)5470000002441931(OCoLC)838636188(OCoLC)995470000002441931(EXLCZ)99547000000244193120130412d2013 ua 0engurmn||||a||||txtrdacontentcrdamediacrrdacarrierInterim inventory and assessment of abandoned mineral lands in the National Park system /J.E. Burghardt, Elizabeth. S. Norby, and Harold S. Pranger IIFort Collins, Colo. :U.S. Department of the Interior, National Park Service, Natural Resource Stewardship and Science,2013.1 online resource (vii, 33 pages) color illustrations, mapsNatural resource technical report NPS/NRSS/GDR/NRTR ;2013/659"January 2013.""NPS 999/119401"--Page [43].Includes bibliographical references (page 16).Abandoned minesUnited StatesInventoriesAbandoned minesfastUnited StatesfastInventories.fastAbandoned minesInventories.Abandoned mines.Burghardt John E.1421403Norby Lisa1956-1421404Pranger Harold S.II.1421405United States.National Park Service.Natural Resource Stewardship and Science,GPOGPOIULOCLCQOCLCFLWAINTOCLCQGPOBOOK9910704577103321Interim inventory and assessment of abandoned mineral lands in the National Park system3542554UNINA03024nam 2200625 a 450 991096998370332120240514050406.01-283-31305-7978661331305890-272-7707-9(CKB)2550000000063421(EBL)793541(OCoLC)647810835(SSID)ssj0000993881(PQKBManifestationID)11541997(PQKBTitleCode)TC0000993881(PQKBWorkID)10957303(PQKB)10301725(MiAaPQ)EBC793541(Au-PeEL)EBL793541(CaPaEBR)ebr10508972(DE-B1597)720034(DE-B1597)9789027277077(EXLCZ)99255000000006342119930402d1993 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierFrom Indo-European to Latin the evolution of a morphosyntactic type /Helena Kurzová1st ed.Amsterdam ;Philadelphia :J. Benjamins Pub. Co.,1993.1 online resource (xv, 259 pages)Amsterdam studies in the theory and history of linguistic science. Series IV, Current issues in linguistic theory,0304-0763 ;v. 10490-272-3606-2 Includes bibliographical references (p. [215]-231) and index.pt. 1. The origins and evolution of the Indo-European flectional type : the derivative-flectional type of Indo-European and the paradigmatic-flectional type of Latin -- pt. 2. The basic principles and origins of the nominal system and inflections -- pt. 3. The Indo-European origins of the Latin verbal system.This study aims to describe the typological characteristics of the original Indo-European structure, called the derivative-flectional stage (or (sub)type), and to trace its developments to the paradigmatically organized structure of the individual Indo-European languages, called the paradigmatic-flectional stage (or (sub)type). This development is demonstrated in Latin, a language characterized by highy developed inflection, which attests, especially by its verbal system, an alternative way of paradigmatizing the original structure, differing from Old Indian and Greek on which traditional recoAmsterdam studies in the theory and history of linguistic science.Series IV,Current issues in linguistic theory ;104.Latin languageMorphologyIndo-European languagesInfluence on LatinLatin languageSyntaxLatin languageMorphology.Indo-European languagesInfluence on Latin.Latin languageSyntax.475Kurzová Helena155086MiAaPQMiAaPQMiAaPQBOOK9910969983703321From indo-european to latin469091UNINA02408nam a22003015i 450099100440322830753620251027151029.0251024s2025 si a r 000 0 eng d978981973944810.1007/978-981-97-3944-8doiBibl. Dip.le Aggr. Matematica e Fisica - Sez. MatematicaengQ334-342006.3AMS 68TZhao, Shiyu1785025Mathematical foundations of reinforcement learning /by Shiyu ZhaoSingapore :Springer Nature Singapore ;Tsinghua :Tsinghua University Press,2025xvi, 275 p. ;25 cm1 Basic Concepts -- 2 State Value and Bellman Equation -- 3 Optimal State Value and Bellman Optimality Equation -- 4 Value Iteration and Policy Iteration -- 5 Monte Carlo Learning -- 6 Stochastic Approximation -- 7 Temporal-Difference Learning -- 8 Value Function Approximation -- 9 Policy Gradient -- 10 Actor-Critic MethodsThis book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout. The mathematical content is carefully structured to ensure readability and approachability. The book is divided into two parts. The first part is on the mathematical foundations of reinforcement learning, covering topics such as the Bellman equation, Bellman optimality equation, and stochastic approximation. The second part explicates reinforcement learning algorithms, including value iteration and policy iteration, Monte Carlo methods, temporal-difference methods, value function methods, policy gradient methods, and actor-critic methods. With its comprehensive scope, the book will appeal to undergraduate and graduate students, post-doctoral researchers, lecturers, industrial researchers, and anyone interested in reinforcement learningArtificial intelligenceMachine learningArtificial intelligenceData processingMultiagent systems9789819739431991004403228307536Mathematical Foundations of Reinforcement Learning4316642UNISALENTO