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Environment interaction in reinforcement learning is a closed-loop process: the agent takes actions in the environment, the environment returns state transitions and reward signals, and the agent updates its policy accordingly.
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10/16/2026
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The Bottleneck of Intelligence Is Not Intelligence, But Continuous Contact with Reality
twitterfchollet10/14/2026
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