Absolute value equations (AVEs), characterised by the inclusion of absolute value functions in the variables, present inherently non‐smooth and computationally challenging problems that are often ...
Abstract: In this article, we propose several novel distributed gradient-based temporal-difference algorithms for multiagent off-policy learning of linear approximation of the value function in Markov ...
This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: A recent approach uses linear programming (LP) to compute continuous and piecewise affine (CPA) Lyapunov functions for arbitrary switched linear systems. Such a Lyapunov function is a common ...
Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Ebony Howard is a certified public ...
Current Actor-Critic Reinforcement Learning algorithms face a fundamental limitation. The critic has to implicitly learn about the current state of the policy embodied by the actor. This in turn leads ...
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