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United We Stand: Decentralized Multi-Agent Planning With Attrition

https://arxiv.org/html/2407.08254v2
1 Introduction 2 Related Work 3 Problem Formulation 3.1 Multi-agent planning with attrition 4 Attritable MCTS with Regret Minimization 4.1 Overview of the A-MCTS algorithm 4.2 Regret Matching For Cooperative Coordination 4.3 Analysis and

Forthcoming in SIAM Journal on Financial Mathematics Decentralised

https://arxiv.org/html/2309.08431v3
Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision 1 Introduction 2 Constant function markets and concentrated liquidity 2.1 Constant function markets 2.2 Concentrated liquidity markets 3 The wealth of

Eliminating Majority Illusion is Easy

https://arxiv.org/html/2407.20187v1
1 Introduction 1.1 The Illusion Elimination Problem 1.2 Our Contributions. 1.3 Related Work. 2 Preliminaries 3 Majority Illusion Addition Elimination (MIAE) 3.1 A First Attempt 3.2 A Second Attempt 3.3 A TDI System 3.4 A Polynomial Time

Stochastic Games with Minimally Bounded Action Costs

https://arxiv.org/html/2407.18010v2
1 Introduction 2 Formulation 3 Existence of a Value and Saddle Point Equilibrium 4 Learning in Unknown Environments 4.1 Convergence using Linear Function Approximators 5 Intervention Budget Constraints 6 Discussion on Subcases 7 Related

Homogeneous Distributed Observers for Quasilinear Systems

https://arxiv.org/html/2407.05763v1
1 Introduction 2 Preliminaries 2.1 Graph Theory 2.2 Generalized Homogeneity 3 Problem Statement 4 Basic Idea of the Observer Design 5 Homogeneous Observer Design 5.1 Globally Homogeneous Distributed Observer 5.2 Locally Homogeneous

Mathematics

https://arxiv.org/list/math/new
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