An observation supplies evidence about the environment; an action attempts to change it or obtain more evidence. Confusing the two can make an agent treat guesses as real-world results.

Observation and Action Are Different

A policy maps state to action, and reinforcement learning adjusts a policy from reward-bearing experience. Safety constraints and off-policy evaluation matter before learned choices control real tools.

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