MACHINE LEARNING

Detailed explanation-1: -Fully observable means the agent knows the state of the world from the stimuli. Partially observable means the agent does not directly observe the state of the world. This occurs when many possible states can result in the same stimuli or when stimuli are misleading.

Detailed explanation-2: -When an agent can determine the state of the system at all times, it is called fully observable. For example, in a chess game, the state of the system, that is, the position of all the players on the chess board, is available the whole time so the player can make an optimal decision.