Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
ABSTRACT: The diversity of snail intermediate hosts of schistosomes and infection rates are influenced by environmental determinants. Knowledge of these local environmental determinants is an ...
This repository contains the C++ source code for the LinearPartition project, the first linear-time partition function and base pair probabilities calculation algorithm/software for RNA secondary ...
Original Paper from Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation (NeurIPS 2023). This version uses outdated gym / numpy / mujoco versions therefore I updated and ...
Two methods are discussed which result in near minimax rational approximations to the exponential function and at the same time retain the desirable property that the approximation for negative values ...
ABSTRACT: This paper proposes a blockchain-based system as a secure, efficient, and cost-effective alternative to SWIFT for cross-border remittances. The current SWIFT system faces challenges, ...
Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear functions. Despite their ...
Abstract: Function approximation has experienced significant success in the field of reinforcement learning (RL). Despite a handful of progress on developing theory for nonstationary RL with function ...
Abstract: An analytical integral of a lightning current model is required in the analysis of lightning events including the induced effects and frequency analysis of lightning strikes. Previous work ...
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