Results 251 to 260 of about 11,728 (310)

Immediate variations in high-dimensional circulating immune cells following pancreatectomy. [PDF]

Clin Transl Immunology
Garnier J, Palen A, Durand X, Ewald J, Amara AB, Rouvière MS, Granjeaud S, Bellan G, Choisy B, Verdonk F, Gaudilliere B, Gouarne C, Turrini O, Olive D, Chretien AS.   +14 more
europepmc   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

Is the positioning of defensive players an aspect to consider in soccer transition games? [PDF]

Biol Sport
Asian-Clemente JA, Requena B, Suarez-Arrones L, Żmijewski P.   +3 more
europepmc   +1 more source

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Dynamic decision-making and differential game analysis of ESG-constrained closed-loop supply chains under cap-and-trade regulation. [PDF]

Sci Rep
Lan H, Si X, Li X, Tang J.
europepmc   +1 more source

Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu, Xueqiang Gu, Caiming Zheng, Xin Xu, Zhangling Wang, Wanpeng Zhang, Yixing Lan   +6 more
wiley   +1 more source

Integrated Ising model with global inhibition for decision-making. [PDF]

Proc Natl Acad Sci U S A
Tapinova O, Finkelman T, Reitich-Stolero T, Paz R, Tal A, Gov NS.   +5 more
europepmc   +1 more source

Advances in deep reinforcement learning enable better predictions of human behavior in time-continuous tasks. [PDF]

PLoS One
Haberland S, Ruge H, Frimmel H.
europepmc   +1 more source

A stochastic framework to assess the optimal allocation of limited vaccine doses in foot-and-mouth disease outbreaks using game theory. [PDF]

Front Vet Sci
Moreno-Torres KI, Sanderson MW, Rigney C, Schoenbaum M, Delgado A, Arzt J, Heier Stamm JL.   +6 more
europepmc   +1 more source