Computer Vision and Image Processing
Exploration vs exploitation refers to the trade-off in decision-making processes, particularly in reinforcement learning, where exploration involves trying new actions to discover their effects, while exploitation focuses on leveraging known actions that yield the highest rewards. This balance is crucial because too much exploration can lead to wasted resources and time, while too much exploitation can result in missing out on potentially better options.
congrats on reading the definition of exploration vs exploitation. now let's actually learn it.