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Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2

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Artificial Intelligence

https://arxiv.org/list/cs.AI/new

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Bandwidth-Free Inference for Recursive Nonlinear Impulse Response

https://arxiv.org/html/2608.02943v1

org perpetual non-exclusive license arXiv:2608

1 Introduction

https://arxiv.org/html/2608.03486v1

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1

org) Wen Chen is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China(e-mail: wenchen@sjtu

1 Introduction

https://arxiv.org/html/2511.06451v1

1 Data Protocol (arXiv Release) Synthetic risk–neutral generator

Maximizing utility in multi-agent environments by anticipating the

https://arxiv.org/html/2407.04889v1

behavior of other learners 1 Introduction Setting. Zero-sum games. General-sum games. 1.1 Preliminaries 1.2 Algorithms for the learner 1.3 Our results 1.3.1 Zero sum games Continuous-time games. Discrete-time games. 1.3.2 A lower bound

Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially

https://arxiv.org/html/2407.04974v1

Observable Environments I Introduction II State of the art II-A Settings II-B State estimation in model-based learning II-C State estimation in model-free RL II-C1 Neural Network-based Approaches II-C2 Non-neural-based Approach II-D

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1

begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.

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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