Mars exploration encompasses a series of missions aimed at understanding the Red Planet's geology, climate, potential for past or present life, and suitability for future human colonization. These missions have evolved from early flybys and orbiters to sophisticated landers and rovers, significantly advancing our knowledge of Mars.
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.