United States
Massachusetts Institute of Technology (MIT) - Institute for Data, Systems, and Society (IDSS)
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online matching, reusable resources, network resources, decaying rewards, greedy-like policy, competitive ratio
revenue management, capacity control, dynamic programming, bid-price control
online learning, dynamic pricing, non-stationary, growing, optimal regret
stochastic bandits, worst-case optimality, instance-dependent consistency, heavy-tailed risk
Supply Chain Resilience, Risk Detection, Response Coordination, System Recovery, Time-To-Recover, Prioritization, Competitive Ratio
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
resource allocation, online knapsack, exogenous replenishment, re-solving, false discovery rate, multiple testing
Supply Chain Management, AI Agent, Large Language Models, Reinforcement Learning, Bullwhip Effect, GRPO, Autonomous Supply Chains, Multi-Agent System, Agent Reliability
