Multi-task reinforcement learning method for realizing parallel task scheduling
A technology of reinforcement learning and task scheduling, applied in the fields of information, distribution and parallel computing, it can solve problems such as the difficulty of accurate modeling and the difficulty of heuristic algorithms to show scheduling performance, and achieve the effect of improving generalization.
Inactive Publication Date: 2019-12-17
BEIJING UNIV OF POSTS & TELECOMM
5 Cites 12 Cited by
AI-Extracted Technical Summary
Problems solved by technology
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreAbstract
A multi-task reinforcement learning method for realizing parallel task scheduling is realized based on an asynchronous advantage actor-critic algorithm, and comprises the following operation steps: (1) setting an algorithm model to better solve the parallel multi-task scheduling problem, including setting a state space, setting an action space and setting an award definition; (2) improving the algorithm network as follows: using a deep neural network to represent a strategy function and a value function, wherein the global network is composed of an input layer, a shared sub-network and an output sub-network; (3) setting a new loss function of the algorithm; and (4) training the algorithm network by utilizing the collected and observed parallel task scheduling data, and applying the algorithm network to parallel task scheduling after algorithm convergence.
Application Domain
Technology Topic
Image
Examples
- Experimental program(1)
Example Embodiment
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more PUM


Description & Claims & Application Information
We can also present the details of the Description, Claims and Application information to help users get a comprehensive understanding of the technical details of the patent, such as background art, summary of invention, brief description of drawings, description of embodiments, and other original content. On the other hand, users can also determine the specific scope of protection of the technology through the list of claims; as well as understand the changes in the life cycle of the technology with the presentation of the patent timeline. Login to view more.
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more Similar technology patents
Road network difference method and device, electronic equipment and storage medium
PendingCN114429434AImprove accuracyImprove generalizationImage enhancementImage analysisComputer visionRaster data
Owner:HANHAI INFORMATION TECH SHANGHAI
Face silence living body detection method and device, electronic equipment and storage medium
PendingCN113743194AImprove generalizationLiveness detection effect is goodCharacter and pattern recognitionNeural architecturesBiologyLiving body
Owner:BEIJING TECHSHINO TECH +1
Extreme multi-label learning method based on space-time network clustering reduction integration
PendingCN114676252AEnhanced Representational CapabilitiesImprove generalizationNeural architecturesText database indexingSelf adaptiveLabel
Owner:YUNNAN UNIV
Unified low sample relation extraction method and device based on multi-choice matching network
PendingCN114528400AReduce computational cost and computational speedImprove generalizationSemantic analysisCharacter and pattern recognitionLanguage modelNetwork architecture
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
Method for training image recognition model, image recognition method and image recognition equipment
PendingCN113408589AImprove generalizationGood performanceImage enhancementImage analysisImage identificationImage signal
Owner:MEGVII BEIJINGTECH CO LTD
Classification and recommendation of technical efficacy words
- Improve generalization
Image retrieval method and system
InactiveCN108829848AImprove accuracyImprove generalizationCharacter and pattern recognitionSpecial data processing applicationsExclusive orMultiple image
Owner:HUAZHONG UNIV OF SCI & TECH
Human face anti-counterfeiting detection method of double-channel convolutional neural network based on attention model
InactiveCN110414350AImprove the detection effectImprove generalizationCharacter and pattern recognitionNeural architecturesFeature fusionTraining set
Owner:ZHEJIANG UNIV
Circuit breaker voiceprint and vibration entropy feature fusion fault diagnosis method
ActiveCN111487046AOptimize model structureImprove generalizationMachine part testingCharacter and pattern recognitionMachine learningEnvironmental noise
Owner:GUANGXI POWER GRID ELECTRIC POWER RES INST
Training method and device of neural network model for sample classification
PendingCN110689048APrevent overfittingImprove generalizationCharacter and pattern recognitionNeural architecturesMachine learningNetwork model
Owner:ADVANCED NEW TECH CO LTD
Bottom cup lid, burner and gas appliance
ActiveCN104713087AImprove generalizationEasy to processDomestic stoves or rangesGaseous fuel burnerAirflowEngineering
Owner:GUANGDONG MIDEA KITCHEN APPLIANCES MFG CO LTD +1