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      <title>Policy Gradients Grow Up: Teaching RL to Think in Domains</title>
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      <description>A mechanism-first reading of how actor-critic reinforcement learning can generalize in symbolic planning when policies learn reusable state transitions instead of memorizing instance-specific actions.</description>
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