Lv5
938 积分 2025-05-19 加入
重庆市主城区城市通风廊道识别与构建研究
16天前
已完结
MADRL-Based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks
1个月前
已完结
Relative Velocity-Based Reward Model for Socially-Aware Navigation with Deep Reinforcement Learning
1个月前
已完结
Research on multiple quadrotor UAV formation obstacle avoidance based on finite-time consensus
6个月前
已完结
Unmanned aerial systems in search and rescue: A global perspective on current challenges and future applications
6个月前
已完结
Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning
7个月前
已完结
Multi-Agent Deep Reinforcement Learning for Cooperative Path Planning of UAV Swarms
7个月前
已完结
Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards
7个月前
已完结
Autonomous and cooperative control of UAV cluster with multi-agent reinforcement learning
7个月前
已完结
Flocking collision avoidance for multi-UAVs in restricted scenarios: an event-triggered MAPPO strategy based on task-hierarchical curriculum
10个月前
已完结
Application of Impedance Control Based on Multi-Subgroup Improved Marine Predator Algorithm In Compliance Control of Robotic Arms
1年前
已采纳
Machine Learning Accelerated Real-Time Model Predictive Control for Power Systems
1年前
已采纳
A Low-Frequency High-Performance Harvesting System With Combined Cantilever Beam
1年前
已采纳
Logistics Optimization for Online Community Group Buying in Emerging O2O Business Modes
1年前
已采纳
25.2 A 1.2V 8Gb 8-channel 128GB/s high-bandwidth memory (HBM) stacked DRAM with effective microbump I/O test methods using 29nm process and TSV
1年前
已采纳
Real-Time Driving Style Integration in Deep Reinforcement Learning for Traffic Signal Control
1年前
已采纳
Modular Multilevel Converter and Parallel Hybrid Converter based Open-End Windings AC Machine Drive for Wide Speed Range
1年前
已采纳
Multiview Contrastive Shapelet Learning: A Novel Semi-Supervised Approach for Explainable Machine Fault Diagnosis With Insufficient Annotated Data
1年前
已采纳
Research on Global Optimal Cluster Structure Prediction based on Intelligent Algorithm
1年前
已采纳
Real-Time Forecasting of sEMG Features for Trunk Muscle Fatigue Using Machine Learning
1年前
已采纳