Search Results for author:
Found 3 papers, 0 papers with code
Automating Staged Rollout with Reinforcement Learning
This paper demonstrates the potential to automate staged rollout with multi-objective reinforcement learning in order to dynamically balance stakeholder needs such as time to deliver new features and downtime incurred by failures due to latent defects.
Multi-Objective Reinforcement Learning
reinforcement-learning
Bayesian Ridge Regression Based Model to Predict Fault Location in HVdc Network
This paper discusses a method for accurately estimating the fault location in multi-terminal High Voltage direct current (HVdc) transmission network using single ended current and voltage measurements.
Fault location in High Voltage Multi-terminal dc Networks Using Ensemble Learning
Precise location of faults for large distance power transmission networks is essential for faster repair and restoration process.
