dynamic-pricing

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#dynamic-pricing

@paulg: Dynamic pricing means prices go down as well as up. So this is conclusive evidence that either (a) she's stupid, (b) sh…

X AI KOLs Timeline · 4d ago Cached

Paul Graham responds to Elizabeth Warren's tweet on dynamic pricing, critiquing her statement as oversimplifying the concept and questioning her honesty or intelligence.

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#dynamic-pricing

Reinforcement Learning for Continuous-Time Jump Markov Decision Processes with Applications to Network Dynamic Pricing

arXiv cs.LG · 2026-08-24 Cached

The paper develops model-free q-learning algorithms for reinforcement learning in continuous-time jump Markov decision processes, applied to network dynamic pricing, showing superior performance over benchmark methods.

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#dynamic-pricing

Higher Airfares Are Looming on Busy Routes as AI Squeezes Out Bargains

Reddit r/ArtificialInteligence · 2026-07-30

A news article discussing how AI-driven dynamic pricing is reducing the availability of bargain airfares on popular routes, leading to higher overall ticket prices.

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#dynamic-pricing

@freeCodeCamp: Programmatic advertising lets software buy and sell ad space automatically, often in milliseconds. In this article, @ma…

X AI KOLs Timeline · 2026-07-27 Cached

A tutorial explaining programmatic advertising and how to model physical advertising using Python, covering entity resolution, audience data, availability, and dynamic pricing.

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#dynamic-pricing

Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

arXiv cs.LG · 2026-07-14 Cached

This paper proposes a fairness-aware pricing framework for retail food products using Autoregressive Distributed Lag (ARDL) models for sales forecasting and optimizes prices with Linear Programming and Simulated Annealing under CPI-based bounds to prevent consumer exploitation.

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#dynamic-pricing

Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources

arXiv cs.LG · 2026-07-14 Cached

This paper presents Quota Marketplace, a market-based dynamic pricing mechanism deployed at Google for efficient allocation of ML training accelerators across business units, achieving Pareto efficiency and max-min fairness under heterogeneous workload values.

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#dynamic-pricing

Human-in-the-Loop Contextual Bandits for Short-Term Rental Dynamic Pricing: Structural Equivalence of Historical Warm-Up and Approval-Gated Live Learning

arXiv cs.LG · 2026-06-03 Cached

The paper introduces Human-in-the-Loop Gated Bandit (HITL-GB) for short-term rental dynamic pricing, showing that historical pricing data under a prior policy is structurally equivalent to on-policy warm-up data, reducing cold-start from ~150 to ~30 episodes.

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