Deep Reinforcement Learning Control of a Boiling Water Reactor
Author:
Affiliation:
1. Department of Nuclear Engineering, Pennsylvania State University, University Park, PA, USA
2. Department of Mechanical Engineering, Nuclear Engineering, and Mathematics, Pennsylvania State University, University Park, PA, USA
Funder
U.S. Army Research Office
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://ieeexplore.ieee.org/ielam/23/9858187/9810971-aam.pdf
Reference29 articles.
1. Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System
2. Control automation in the heat-up mode of a nuclear power plant using reinforcement learning
3. Optimal Autonomous Operation for Power Control of Nuclear Power Plants by Using Deep Reinforcement Learning
4. A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
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