Jan 5, 2025 · Artificial Intelligence

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

The article presents a CIKM‑2024 paper that introduces MODRL‑TA, a multi‑objective deep reinforcement learning system combining multi‑objective Q‑learning, a cross‑entropy‑based decision‑fusion algorithm, and a progressive data‑augmentation pipeline to dynamically allocate search traffic on JD.com, with both offline and online experiments showing substantial gains in CTR, CVR, and overall platform performance.

Deep Learningcross-entropy methode‑commerce

0 likes · 14 min read

Multi‑Objective Deep Reinforcement Learning Framework for E‑commerce Traffic Allocation (MODRL‑TA)

Dada Group Technology

Jun 9, 2017 · Artificial Intelligence

Deep Reinforcement Learning: Concepts, Black‑Box Optimization, and the Cross‑Entropy Method

This article introduces reinforcement learning and deep reinforcement learning, explains key algorithms such as DQN and policy gradients, discusses black‑box optimization and the cross‑entropy method, and provides resources and code examples for further study.

Black-Box OptimizationDQNartificial intelligence

0 likes · 7 min read

Deep Reinforcement Learning: Concepts, Black‑Box Optimization, and the Cross‑Entropy Method