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Record Nr. |
UNINA9910770270303321 |
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Autore |
Pardalos Panos |
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Titolo |
Mathematical Research for Blockchain Economy : 4th International Conference MARBLE 2023, London, United Kingdom |
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Pubbl/distr/stampa |
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Cham : , : Springer, , 2024 |
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©2023 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (193 pages) |
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Collana |
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Lecture Notes in Operations Research Series |
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Altri autori (Persone) |
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KotsireasIlias |
KnottenbeltWilliam J |
LeonardosStefanos |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- Deep Reinforcement Learning-Based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks -- 1 Introduction -- 2 Background -- 2.1 Payment Channel Networks and the Need for Rebalancing -- 2.2 The Submarine Swap Rebalancing Mechanism -- 3 Problem Formulation -- 3.1 System Evolution -- 3.2 Writing the Problem as a Markov Decision Process -- 4 Heuristic and Reinforcement Learning-Based Policies -- 4.1 Heuristic Policies -- 4.2 Deep Reinforcement Learning Algorithm Design -- 5 Evaluation -- 6 Related Work -- 7 Conclusion -- A Causes of Channel Depletion -- B The Submarine Swap Protocol -- C An Equivalent Objective -- D Deep Reinforcement Learning Algorithm Design Details -- D.1 Helping a Swap-In Succeed -- D.2 Design Choices -- D.3 Practical Applicability -- E Hyperparameters and Rewards -- F Additional Experimental Results -- F.1 The RebEL Policy Under Even Demand -- F.2 The Role of the Initial Conditions -- References -- Game-Theoretic Randomness for Proof-of-Stake -- 1 Introduction -- 2 Preliminaries -- 2.1 Games and Equilibria -- 2.2 Publicly-Verifiable Secret Sharing -- 2.3 Verifiable Delay Functions -- 3 Random Integer Generation Game (RIG) -- 3.1 Overview of RIG -- 3.2 Analysis of Alliance-Resistant Nash Equilibria -- 3.3 Dense RIG Bimatrix Game -- 4 Designing a Random Beacon Based on RIG -- 4.1 Commitment Scheme |
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