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Intelligent Agents - Coggle Diagram

- - - - An agent's actions uniquely determine the outcome.
    - - An element of randomness is introduced, meaning the outcome of an action is not completely predictable.
  - - - The environment is reset after each episode, and the agent's actions in one episode do not affect future episodes.
    - - The agent's actions have consequences that persist across multiple episodes.
  - - - The environment remains constant throughout the agent's interaction.
    - - The environment changes over time, possibly due to the agent's actions or external factors.
  - - - The state space and action space are finite.
    - - The state space and action space are unbounded.
  - - - The environment is only influenced by one agent.
    - - The environment is influenced by multiple agents, potentially including a human player.
  - - - The agent has full knowledge of the environment's rules and properties.
    - - The agent must learn the environment's rules and properties through experience.
  - - - The agent has access to the complete state of the environment at all times.
    - - The agent only has access to a subset of the environment's state. This can be due to noisy sensors, inaccurate information, or simply a lack of access to certain parts of the environment.