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Ditch the greedy heuristics: QUBO optimization, when informed by gradients and refined with Tensor-Trains, can drastically outperform traditional pruning methods.
Finally, a rigorous RL benchmark: generate environments with *provably* optimal policies, enabling controlled algorithm evaluation against ground truth.