Results 61 to 70 of about 57,303 (303)
IoT Fog Computing Optimization Method Based on Improved Convolutional Neural Network
IEEE AccessThe rapid development of communication technology has promoted the development of the Internet of Things technology. It has resulted in a scarcity of computing resources for the Internet of Things devices, and limited the further development of the ...
Bing Jing, Huimin Xue
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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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Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
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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Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review
IEEE AccessThe Volt/Var optimization (VVO) enables advanced control strategy development for voltage regulation. With the recent advancement of data-driven approaches and communication infrastructure, realtime decision-making through VVO can effectively address ...
Sarah Allahmoradi +4 more
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A multicriteria competitive Markov decision process
, 2021 The course work is devoted to A multicriteria competitive Markov decision process; proposed software implementation of their solution. The work consists of an introduction, the main part that consists of six sections, a conclusion, a list of used ...
Левченко, Іларія
core
Markov decision process algorithms for wealth allocation problems with defaultable bonds [PDF]
, 2016 This paper is concerned with analysing optimal wealth allocation techniques within a defaultable financial market similar to Bielecki and Jang (2007). It studies a portfolio optimization problem combining a continuous-time jump market and a defaultable ...
Pérez López, Iker +3 more
core +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Markov Decision Processing Networks
CoRRWe introduce Markov Decision Processing Networks (MDPNs) as a multiclass queueing network model where service is a controlled, finite-state Markov process. The model exhibits a decision-dependent service process where actions taken influence future service availability.
Sanidhay Bhambay +2 more
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Robust Synchronization in Markov Decision Processes [PDF]
, 2014 We consider synchronizing properties of Markov decision processes (MDP), viewed as generators of sequences of probability distributions over states. A probability distribution is p-synchronizing if the probability mass is at least p in some state, and a sequence of probability distributions is weakly p-synchronizing, or strongly p-synchronizing if ...
Doyen, Laurent +2 more
openaire +3 more sources