imitation learning

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

0 likes · 16 min read

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

GuanYuan Data Tech Team

Sep 8, 2022 · Artificial Intelligence

How AI Reinforcement Learning Transforms Smart Replenishment in Retail

This article examines the technical challenges of intelligent replenishment—model stability, complexity, generalization, and interpretability—and explains how a few‑shot imitation learning and inverse reinforcement learning framework can overcome these issues to deliver reliable, low‑cost AI‑driven supply‑chain decisions.

AIimitation learningmodel stability

0 likes · 22 min read

How AI Reinforcement Learning Transforms Smart Replenishment in Retail

Tencent Cloud Developer

Mar 15, 2018 · Artificial Intelligence

Learning Long-Horizon Surgical Robot Tasks via Transition State Clustering, SWIRL, and DDCO

The article surveys three recent approaches—Transition State Clustering, Sequential Windowed Inverse Reinforcement Learning, and Deep Discovery of Continuous Options—that automatically segment long‑horizon surgical‑robot demonstrations into sub‑tasks, learn hierarchical policies from limited data, and achieve markedly higher success rates on da Vinci cutting, tension, and needle‑picking tasks.

Roboticshierarchical learningimitation learning

0 likes · 18 min read

Learning Long-Horizon Surgical Robot Tasks via Transition State Clustering, SWIRL, and DDCO