Offline Reinforcement Learning

DataFunTalk

Aug 13, 2023 · Artificial Intelligence

Model Innovation Forum: Advances in Recommendation Systems and Dense Retrieval

The Model Innovation Forum brings together academic and industry experts to discuss cutting‑edge recommendation system models, including efficient dense retrieval, Baidu ranking architectures, offline reinforcement learning, and large‑model inspirations, offering attendees deep technical insights and practical applications.

Artificial IntelligenceLarge Language ModelsModel Innovation

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Model Innovation Forum: Advances in Recommendation Systems and Dense Retrieval

Didi Tech

Jun 13, 2023 · Operations

Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform

Didi balances ride‑hailing supply and demand by forecasting regional needs with time‑series and deep‑learning models, then optimally repositioning drivers through integer programming and refining policies via imitation and offline reinforcement learning, ultimately enhancing passenger experience and platform efficiency.

DidiOffline Reinforcement LearningRide-hailing

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Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform

DataFunSummit

Mar 5, 2023 · Artificial Intelligence

Data‑Driven Decision Optimization: Challenges and Advances in Offline Reinforcement Learning

This article reviews the practical challenges of applying data‑driven decision optimization in real‑world systems, explains the fundamentals of offline reinforcement learning, discusses recent algorithmic innovations such as policy‑constraint methods and the DOGE framework, and presents industrial case studies including power‑plant control and mixed offline‑online RL approaches.

Offline Reinforcement Learningdata-driven decisionindustrial AI

0 likes · 27 min read

Data‑Driven Decision Optimization: Challenges and Advances in Offline Reinforcement Learning