Reinforcement Learning (RL) has achieved tremendous success in many complex decision-
making tasks. However, safety concerns are raised during deploying RL in real-world …

Reinforcement Learning (RL) has achieved tremendous success in many complex decision-
making tasks. However, safety concerns are raised during deploying RL in real-world …

The avoidance of multiple space debris collisions by autonomous spacecraft has garnered
significant interests worldwide. Applying deep reinforcement learning (DRL) to autonomous …

Recent advancements in reinforcement learning techniques demonstrate an ability to make
decisions in high dimen-sional state spaces and complex real-time strategy games. In …

Technology Readiness Levels are a mainstay for organizations that fund, develop, test,
acquire, or use technologies. Technology Readiness Levels provide a standardized …

This paper investigates the problem of on-orbit spacecraft inspection using a single free-
flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural …

Reinforcement Learning (RL) has become an increasingly important research area as the
success of machine learning algorithms and methods grows. To combat the safety concerns …

Run Time Assurance (RTA) systems are online safety verification techniques that filter the
output of a primary controller to assure safety. RTA approaches are used in safety-critical …

In this paper, an online adaptive optimal control scheme using reinforcement learning (RL)
methodology is developed with applications to helicopters in the presence of input …

As outer space becomes increasingly congested, there exists a growing need for auxiliary
spacecraft to perform support missions for existing satellites with guarantees for safety and …