What models can be used to describe environments.?

Some common models used to describe environments include Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), Reinforcement Learning (RL) algorithms, and Simulators. These models help represent the dynamics and interactions within an environment, facilitating the development and testing of decision-making algorithms.