Reinforcement learning is a subfield of machine learning concerned with how agents ought to take actions in an environment to maximize cumulative reward. It is distinguished by its focus on learning from interaction, using trial and error, and is widely applied in robotics, game playing, and autonomous systems.
Space exploration is the investigation of celestial bodies and cosmic phenomena beyond Earth's atmosphere through the use of astronomy and space technologies. It encompasses both robotic missions and human spaceflight, aiming to expand scientific knowledge, develop new technologies, and explore the potential for human habitation beyond Earth.