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Center for Engineering Systems and Sciences, Central University, Sirius University of Science and Technology
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Training efficiency skyrockets as RL policies leverage existing suboptimal baselines, achieving superior performance without starting from scratch.
Finally, a rigorous RL benchmark: generate environments with *provably* optimal policies, enabling controlled algorithm evaluation against ground truth.