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Entropy-regularized RL, though non-convex in the traditional sense, exhibits a Bellman-induced Polyak--艁ojasiewicz geometry that guarantees global convergence of Wasserstein Policy Gradient.
EOS-Bench reveals that the complexity of satellite scheduling can be systematically quantified, unlocking new insights into algorithm performance across thousands of scenarios.
