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Full-Text Articles in Physical Sciences and Mathematics
Applying Imitation And Reinforcement Learning To Sparse Reward Environments, Haven Brown
Applying Imitation And Reinforcement Learning To Sparse Reward Environments, Haven Brown
Computer Science and Computer Engineering Undergraduate Honors Theses
The focus of this project was to shorten the time it takes to train reinforcement learning agents to perform better than humans in a sparse reward environment. Finding a general purpose solution to this problem is essential to creating agents in the future capable of managing large systems or performing a series of tasks before receiving feedback. The goal of this project was to create a transition function between an imitation learning algorithm (also referred to as a behavioral cloning algorithm) and a reinforcement learning algorithm. The goal of this approach was to allow an agent to first learn to …
Countering Cybersecurity Vulnerabilities In The Power System, Fengli Zhang
Countering Cybersecurity Vulnerabilities In The Power System, Fengli Zhang
Graduate Theses and Dissertations
Security vulnerabilities in software pose an important threat to power grid security, which can be exploited by attackers if not properly addressed. Every month, many vulnerabilities are discovered and all the vulnerabilities must be remediated in a timely manner to reduce the chance of being exploited by attackers. In current practice, security operators have to manually analyze each vulnerability present in their assets and determine the remediation actions in a short time period, which involves a tremendous amount of human resources for electric utilities. To solve this problem, we propose a machine learning-based automation framework to automate vulnerability analysis and …