Results 11 to 20 of about 13,931 (229)
Risk-aware autonomous search and rescue with multiagent reinforcement learning. [PDF]
Risk AnalAbstract Autonomous navigation in dynamic high‐consequence environments, such as search and rescue (SAR) missions, often relies on multiagent robotic systems that need to learn and adapt to changing conditions. Adversarial risks can introduce further challenges in such a setting where an autonomous agent may exhibit deviations in their learned actions ...
Rahman A +4 more
europepmc +2 more sources
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Topics in Cognitive Science, EarlyView., 2023 Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Value Iteration Algorithm for POMDP Based on Recurrent Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2021 The value iteration algorithm,QMDP-net,for Partially Observable Markov Decision Process(POMDP) based on Convolutional Neural Network(CNN) performs well in cases of no prior knowledge.However,it often suffers from instable training results,sensitive ...
YU Danning, NI Kun, LIU Yunlong
doaj +1 more source
Гібридні системи безпеки інформаційних та комунікаційних мереж [PDF]
Системи обробки інформації, 2017 У статті розглядаються два різних методи вирішення децентралізованого частково спостерігаємого процесу прийняття рішень Маркова (decentralized partially observable Markov decision process, DEC-POMDP).
Борисова Н.В. +1 more
doaj +1 more source
Aerospace, 2023 Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming countermeasures.
Huaixi Xing, Qinghua Xing, Kun Wang
doaj +1 more source
Sublinear regret for learning POMDPs
Production and Operations Management, 2022 We study the model‐based undiscounted reinforcement learning for partially observable Markov decision processes (POMDPs). The oracle we consider is the optimal policy of the POMDP with a known environment in terms of the average reward over an infinite horizon.
Xiong, Yi +3 more
openaire +2 more sources
Personalized Cotesting Policies for Cervical Cancer Screening: A POMDP Approach
Mathematics, 2021 Screening for cervical cancer is a critical policy that requires clinical and managerial vigilance because of its serious health consequences. Recently the practice of conducting simultaneous tests of cytology and Human Papillomavirus (HPV)-DNA testing ...
Malek Ebadi, Raha Akhavan-Tabatabaei
doaj +1 more source
Robotic action/observation planning for playing yamakuzushi based on human motion
Nihon Kikai Gakkai ronbunshu, 2020 In this paper, we propose a novel robotic action/observation planning method for playing“ Yamakuzushi ”game which is a Japanese board game selecting one Shogi piece from the randomly stacked pile and sliding it off the board.
Tomohiro MOTODA +2 more
doaj +1 more source
Remote Sensing, 2022 Compressed sensing (CS)-based frequency agile radar (FAR) is attractive due to its superior data rate and target measurement performance. However, traditional frequency strategies for CS-based FAR are not cognitive enough to adapt well to the ...
Shanshan Wang +3 more
doaj +1 more source
Implicit awareness in Alzheimer's Disease: an Active Inference model [PDF]
Alzheimers DementAbstract Background Anosognosia (i.e. lack of illness awareness) is common in neurodegenerative diseases and involves an inability to recognize cognitive, emotional, and behavioral impairments. Despite this, implicit knowledge may still influence behavior at a preconscious level (Mograbi & Morris, 2013).
Ballotta D +7 more
europepmc +2 more sources