Task $1$: Theoretical Analysis $(50\%)$

$$ Objective: Analyze and classify a task environment based on its properties.

$$ Steps:

$1.$ Choose one real$-$world scenario from the below list :

$$ Autonomous Vehicles

$$ Medical Diagnosis Systems

$$ Robotic Vacuum Cleaners

$2.$ Describe the task environment in detail:

$$ Include aspects such as observability, determinism, episodicity, etc.

$3.$ Classify the environment based on these properties.

$4.$ Discuss the implications of this classification for designing agents in the chosen environment.

Task $2$: Python Implementation $(50\%)$

$$ Objective: Implement a simulation of the chosen task environment in Python.

$$ Steps:

$1.$ Develop a simple simulation of the environment that reflects its key properties.

$2.$ Implement agent behaviors that interact with the environment.

$3.$ Run different scenarios to observe how the agents perform under various conditions.

$4.$ Analyze and discuss the results of the simulations.