Reinforcement learning
S. Yatawatta
Abstract
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operational aspects of astronomy are guided and executed by expert astronomers. Reinforcement learning is a mechanism where we (as humans and astronomers) can teach agents of artificial intelligence to perform some of these tedious tasks. In this paper, we will present a state of the art overview of reinforcement learning and how it can benefit astronomy.
Topics & Concepts
Computer scienceReinforcement learningArtificial intelligenceReinforcement Learning in RoboticsAdaptive Dynamic Programming ControlEvolutionary Algorithms and Applications