Understanding AI Environments: Key Characteristics
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Key Characteristics of AI Environments
- Fully Observable vs. Partially Observable: If an agent's sensors give it access to the complete state of the environment needed to choose an action, the environment is fully observable. Otherwise, it is partially observable.
- Deterministic vs. Stochastic: An environment is deterministic if the next state of the environment is completely determined by the current state (plus the results of your actions) and the agent's action. In a stochastic environment, there are multiple, unpredictable random outcomes. Luck is a serious component.
- Episodic vs. Sequential:
- In an episodic environment, the agent's experience is divided into atomic episodes. Each episode consists of the agent perceiving and then performing a