학술논문

An Application of Control- Tutored Reinforcement Learning to the Herding Problem
Document Type
Conference
Source
2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) Cellular Nanoscale Networks and their Applications (CNNA), 2021 17th International Workshop on. :1-4 Sep, 2021
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Geoscience
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Conferences
Refining
Reinforcement learning
Control systems
Nanoscale devices
Feedback control
Convergence
Reinforcement Learning
Optimization
Multi-Agent Systems
Nonlinear Control
Language
Abstract
We exploit a control-tutored reinforcement learning (CTRL) algorithm to solve the herding problem. We illustrate the benefits of our approach and its effectiveness by using the problem of controlling one or more agents to herd and contain within a goal region a set of target free-roving agents in the plane.