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Adam Wierman

Communication Efficient Decentralization for Smoothed Online Convex Optimization

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Nov 13, 2024
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Safe Exploitative Play with Untrusted Type Beliefs

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Nov 12, 2024
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Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data

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Nov 06, 2024
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Online Budgeted Matching with General Bids

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Nov 06, 2024
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End-to-End Conformal Calibration for Optimization Under Uncertainty

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Sep 30, 2024
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Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning?

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Sep 30, 2024
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Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games

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Sep 02, 2024
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CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management

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Aug 14, 2024
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Distributionally Robust Constrained Reinforcement Learning under Strong Duality

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Jun 22, 2024
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Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation

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May 31, 2024
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