Results 11 to 20 of about 30,788 (321)
AIMS Mathematics, 2023 This paper investigates the optimality of the risk probability for finite horizon partially observable discrete-time Markov decision processes (POMDPs).
Xian Wen , Haifeng Huo, Jinhua Cui
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History-dependent Evaluations in Partially Observable Markov Decision Process [PDF]
SIAM Journal on Control and Optimization, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xavier Mathieu Raymond Venel +1 more
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Partially Observable Total-Cost Markov Decision Processes with Weakly Continuous Transition Probabilities [PDF]
, 2016 This paper describes sufficient conditions for the existence of optimal policies for partially observable Markov decision processes (POMDPs) with Borel state, observation, and action sets, when the goal is to minimize the expected total costs over finite
Feinberg, E. A. +4 more
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Intelligent anti-jamming decision algorithm for wireless communication under limited channel state information conditions [PDF]
Scientific ReportsDeep reinforcement learning has been widely applied to solve the anti-jamming problems in wireless communications, achieving good results. However, most research assumes that the communication system can obtain complete Channel State Information (CSI ...
Feng Zhang +3 more
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Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging [PDF]
Brain SciencesAfter more than 30 years since its inception, the utility of brain imaging for understanding and diagnosing mental illnesses is in doubt, receiving well-grounded criticisms from clinical practitioners.
Roberto Limongi +3 more
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Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments
Remote Sensing, 2023 Coordinating multiple unmanned aerial vehicles (UAVs) for the purposes of target finding or surveying points of interest in large, complex, and partially observable environments remains an area of exploration.
Violet Walker +2 more
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Factored Beliefs for Machine Agents in Decentralized Partially Observable Markov Decision Processes
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 A shared mental model (SMM) is a foundational structure in high performing, task-oriented teams and aid humans in determining their teammate's goals and intentions.
Joshua Lapso, Gilbert Peterson
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IEEE Access, 2021 Most real-world problems are essentially partially observable, and the environmental model is unknown. Therefore, there is a significant need for reinforcement learning approaches to solve them, where the agent perceives the state of the environment ...
Mehmet Haklidir, Hakan Temeltas
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Nature Communications, 2021 A Bayesian framework based on partially observable Markov decision processes (POMDPs) not only predicts subjects’ confidence in a perceptual decision making task but also explains well-known discrepancies between confidence and choice accuracy as arising
Koosha Khalvati +2 more
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Remote Sensing, 2023 In modern electronic warfare, radar intelligence has become increasingly crucial when dealing with complex interference environments. This paper combines radar agile frequency technology with reinforcement learning to achieve adaptive frequency hopping ...
Weihao Shi +5 more
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