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• Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
  2020 · 25 citations
• Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
  2020 · 9 citations
• Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
  2021 · 3 citations
• Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints
  2025
• LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency
  2026
• Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
  2025
• Solve Smart, Not Often: Policy Learning for Costly MILP Re-solving
  2025
• Assured Autonomy: How Operations Research Powers And Orchestrates Generative AI Systems
  2025
• Online Resource Allocation with Average Budget Constraints
  2024
• Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
  2024