„Learning Control“
Suchergebnisse
9.512 Treffer
-
Performance Enhancement of Electrohydraulic Servo System Using Teaching Learning-Based Optimization and CDM-Backstepping with Disturbance Observer
-
Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests
-
A particle swarm optimization-based feature selection for unsupervised transfer learning
-
Training of a discrete motor skill in humans is accompanied by increased excitability of the fastest corticospinal connections at movement onset
-
A bibliometric analysis on deep learning during 2007–2019
-
Iterative residual tuning for system identification and sim-to-real robot learning
-
Skill transfer support model based on deep learning
-
Generalization of movements in quadruped robot locomotion by learning specialized motion data
-
Investigating exploration for deep reinforcement learning of concentric tube robot control
-
Effect of real-time virtual reality-based teaching cues on learning needle passing for robot-assisted minimally invasive surgery: a randomized controlled trial
-
Learning behavior in abstract memory schemes for dynamic optimization problems
-
The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data
-
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
-
Particle swarm optimisation with opposition learning-based strategy: an efficient optimisation algorithm for day-ahead scheduling and reconfiguration in active distribution systems
-
Trajectory Tracking Control for Mobile Robots Using Reinforcement Learning and PID
-
Iterative learning of human partner’s desired trajectory for proactive human–robot collaboration
-
Model accelerated reinforcement learning for high precision robotic assembly
-
A sample efficient model-based deep reinforcement learning algorithm with experience replay for robot manipulation
-
Transfer Learning Applied to Reinforcement Learning-Based HVAC Control
-
A Two-Dimensional Approach to Iterative Learning Control with Randomly Varying Trial Lengths