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This is rather abstract. There is an agent with a goal, a sensor, and an actor. Occasionally, the agent uses a model of the environment. There are rewards and one or more value functions that value the rewards. Maximizing the goal (through acting) based on rewards (through sensing) is reinforcement learning (R.L.). The agent’s policy Read the full article…
AURELIS and the West
AURELIS is not an outsider to Western culture. It is part of its living thread — not as nostalgia, but as gentle remembering. By reconnecting with lost dimensions of introspection, dignity, and inner strength, AURELIS becomes the West becoming itself again. This is not critique. It is a breathing of what is ancient and vital. Read the full article…
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Deep meanings sicken and heal. Nothing has meaning except meaning itself ‘Meaning’ only lives in a signifier (meaning-giver). This text for example, has no meaning for a turtle unless it likes to eat the paper on which the text is printed. More generally: If there is no one to understand this text, then it’s just Read the full article…