Markov-decision process - Globe Thesis

Keyword [Markov-decision process] Result: 81 - 100 \| Page: 5 of 6
81.	Multi-sensor Resource Scheduling Method Research For Cooperative Detection Of Flying Targets
82.	Research On Aero Engine Maintenance Strategy Based On Reinforcement Learning
83.	Dynamic Service Migration Under UAV Patrol Mission
84.	Research And Implementation Of ACAS X System Surveillance And Tracking Module And Threat Resolution Module
85.	Research On UAV Collision Avoidance Decision In Urban Low-altitude Environment
86.	Research On Aircraft Surface Taxiing Path Optimization Based On Machine Learning
87.	Research On A Scheduling Method Of TT&C Resources For Multi-satellite Based On Deep Reinforcement Learning
88.	Study On The Maintenance Scheme Of AC27.5kV Vacuum Circuit Breaker With Partial Observability
89.	Research On Maintenance Strategy Of Freight Train Wheel Based On Partially Observable Markov Decision Process
90.	Research On Optimization Of CBTC Train-ground Communication System Resilience Based On LTE-M
91.	Research On UAV Path Planning Based On Reinforcement Learning Under Mobile Edge Computing Architecture
92.	Flexible And Adjustable Resource Optimal Configuration And Multiple-Level Coordinated Optimal Dispatch Of Virtual Power Plant
93.	Research On Test Scenario Generation And Related Testing Methods For Connected And Automated Vehicle
94.	Generative Design Of Trusses Based On Reinforcement Learning
95.	Research On Behavior Decision-making And Motion Planning For Intelligent Vehicle In Urban Uncertainty Environments
96.	Research On Imaging Satellite Task Planning Technology By Integrating Deterministic Algorithms And Reinforcement Learning
97.	Analysis And Research On Energy Haversting Wireless Sensor Network Nodes With Energy Backup
98.	Research On Key Technologies Of Autonomous Ship Collision Avoidance Decision-making Based On Deep Reinforcement Learning
99.	Intelligent Anti-jamming Decision-making Scheme Based On Reinforcement Learning
100.	Design And Implementation Of Combat Agent Based On Deep Reinforcement Learning
<<First <Prev Next> Last>> Jump to