Results 11 to 20 of about 149,503 (282)

Improved reinforcement learning algorithm for mobile robot path planning [PDF]

open access: yesITM Web of Conferences, 2022
In order to solve the problem that traditional Q-learning algorithm has a large number of invalid iterations in the early convergence stage of robot path planning, an improved reinforcement learning algorithm is proposed.
Luo Teng
doaj   +1 more source

An Analysis of Optimization for Car PBS Scheduling Based on Greedy Strategy State Transition Algorithm

open access: yesApplied Sciences, 2023
The differences in constraints between an automotive painting workshop and a final assembly workshop can lead to production scheduling disruptions, and using the Painted Body Store (PBS) in automotive manufacturing can optimize production scheduling to ...
Fengxiao Yu   +4 more
doaj   +1 more source

Recovering Power Grids Using Strategies Based on Network Metrics and Greedy Algorithms

open access: yesEntropy, 2023
For this study, we investigated efficient strategies for the recovery of individual links in power grids governed by the direct current (DC) power flow model, under random link failures.
Fenghua Wang   +5 more
doaj   +1 more source

Greedy Strategies for Convex Optimization [PDF]

open access: yesCalcolo, 2016
We investigate two greedy strategies for finding an approximation to the minimum of a convex function $E$ defined on a Hilbert space $H$. We prove convergence rates for these algorithms under suitable conditions on the objective function $E$. These conditions involve the behavior of the modulus of smoothness and the modulus of uniform convexity of $E$.
Nguyen, Hao, Petrova, Guergana
openaire   +3 more sources

Reinforcement Exploration Strategy Based on Best Sub-Strategy Memory [PDF]

open access: yesJisuanji gongcheng, 2022
Existing reinforcement learning exploration strategies are limited by over exploration, resulting in the slow convergence of agents.To address this issue, in this study, a storage table(M table) is designed and the ε-greedy algorithm is improved upon to ...
ZHOU Ruipeng, QIN Jin
doaj   +1 more source

Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition

open access: yesIEEE Access, 2023
Facial expression recognition plays a key role in human-computer emotional interaction. However, human faces in real environments are affected by various unfavorable factors, which will result in the reduction of expression recognition accuracy.
Hongqi Feng   +3 more
doaj   +1 more source

Weight-Based PA-GPSR Protocol Improvement Method in VANET

open access: yesSensors, 2023
Vehicle Ad-hoc network (VANET) can provide technical support and solutions for the construction of intelligent and efficient transportation systems, and the routing protocol directly affects the efficiency of VANET. The rapid movement of nodes and uneven
Wenzhu Zhang   +3 more
doaj   +1 more source

Closely Related k-Core Subgraph Query Based on Greedy Strategy [PDF]

open access: yesJisuanji gongcheng, 2022
k-core query is a type of community query because it can be calculated effectively in linear time and has a wide range of applications in community detection.In some scenarios, the weights of edges in graphs exhibit strong semantics, but the weights of ...
ZHAO Danfeng, YAO Xianbiao, BAO Xiaoguang, HUANG Dongmei, GUO Weiqi
doaj   +1 more source

Greedy bidding strategies for keyword auctions [PDF]

open access: yesProceedings of the 8th ACM conference on Electronic commerce, 2007
How should players bid in keyword auctions such as those used by Google, Yahoo! and MSN?allWe consider greedy bidding strategies for a repeated auction on a single keyword, where in each round, each player chooses some optimal bid for the next round, assuming that the other players merely repeat their previous bid. We study the revenue, convergence and
Matthew Cary   +7 more
openaire   +1 more source

Greedy Coarsening Strategies for Nonsymmetric Problems [PDF]

open access: yesSIAM Journal on Scientific Computing, 2007
The solution of large-scale linear systems in computational science and engineering requires efficient solvers and preconditioners. Often, the most effective such techniques are those based on multilevel splittings of the problem. In this paper, we consider the problem of partitioning both symmetric and nonsymmetric matrices based solely on algebraic ...
Scott MacLachlan, Yousef Saad
openaire   +1 more source

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