Results 51 to 60 of about 45,379 (157)
IEEE Access, 2023 In modern networking research, infrastructure-assisted unmanned autonomous vehicles (UAVs) are actively considered for real-time learning-based surveillance and aerial data-delivery under unexpected 3D free mobility and coordination. In this system model,
Soohyun Park +4 more
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Bounded-parameter Markov decision processes
Artificial Intelligence, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert Givan +2 more
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Limit Synchronization in Markov Decision Processes [PDF]
, 2014 Markov decision processes (MDP) are finite-state systems with both strategic and probabilistic choices. After fixing a strategy, an MDP produces a sequence of probability distributions over states. The sequence is eventually synchronizing if the probability mass accumulates in a single state, possibly in the limit.
Doyen, Laurent +2 more
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Algebraic Markov Decision Processes [PDF]
, 2005 In this paper, we provide an algebraic approach to Markov Decision Processes (MDPs), which allows a unified treatment of MDPs and includes many existing models (quantitative or qualitative) as particular cases. In algebraic MDPs, rewards are expressed in a semiring structure, uncertainty is represented by a decomposable plausibility measure valued on a
Perny, Patrice +2 more
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Monitored Markov Decision Processes
International Joint Conference on Autonomous Agents and Multiagent SystemsIn reinforcement learning (RL), an agent learns to perform a task by interacting with an environment and receiving feedback (a numerical reward) for its actions. However, the assumption that rewards are always observable is often not applicable in real-world problems. For example, the agent may need to ask a human to supervise its actions or activate a
Simone Parisi +4 more
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Research of proactive complex event processing method
Tongxin xuebao, 2016 Based on the preliminary analysis results of the indeterminate event stream that generated by the sensors and control purpose equipment of CPS,the adaptive dynamic Bayesian network and parallel Markov decision process model were used to support the ...
Shao-feng GENG +3 more
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Underwater chemical plume tracing based on partially observable Markov decision process
International Journal of Advanced Robotic Systems, 2019 Chemical plume tracing based on autonomous underwater vehicle uses chemical as a guidance to navigate and search in the unknown environments. To solve the key issue of tracing and locating the source, this article proposes a path-planning strategy based ...
Jiu Hai-Feng +3 more
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Absorbing Markov decision processes
ESAIM: Control, Optimisation and Calculus of VariationsIn this paper, we study discrete-time absorbing Markov Decision Processes (MDP) with measurable state space and Borel action space with a given initial distribution. For such models, solutions to the characteristic equation that are not occupation measures may exist.
Dufour, François, Prieto-Rumeau, Tomás
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Bounds for Synchronizing Markov Decision Processes
, 2022 We consider Markov decision processes with synchronizing objectives, which require that a probability mass of $1-ε$ accumulates in a designated set of target states, either once, always, infinitely often, or always from some point on, where $ε= 0$ for sure synchronizing, and $ε\to 0$ for almost-sure and limit-sure synchronizing.
Doyen, Laurent, van den Bogaard, Marie
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Data-Driven Iron and Steel Inventory Control Policies
Mathematics, 2019 In this study, we investigated the optimal material inventory policy with regard to the iron and steel industry’s effort to reduce massive overstocking issues in the face of increased corporate competitiveness.
Shih-Hsien Tseng, Jia-Chen Yu
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