Two additional penalties address degenerate behaviors. A repeated pruning penalty, , of 0.1 per excess call is applied to consecutive prune streaks longer than 3 (capped at 0.5), discouraging the agent from pruning one chunk at a time across many turns rather than batching. A turn count penalty, , increases linearly from 0 at 64 turns to 0.5 at 128 turns, discouraging trajectories with diminishing-return searches. The final reward is floored at for any trajectory that completes without error and capped at the pre-penalty value, , ensuring that successful trajectories always dominate failed ones while preventing the floor from inflating penalized rewards.
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Prolog terms represent arbitrary tree structures.
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In doing so, I possess a well-designed layout for the cover, generate diagrams within the
02:22, 4 апреля 2026Туризм