demonstration retrieval 1generative models 1offline reinforcement learning 1policy generalization 1retrieval-based planning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.AI2026
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
Lu Guo, Yixiang Shan, Zhengbang Zhu +5
The paper proposes RAD, a method that improves offline reinforcement learning by retrieving high-return states from the dataset and generating sub-trajectories toward these targets…
cs.LG2025
OpComm: A Reinforcement Learning Framework for Adaptive Buffer Control in Warehouse Volume Forecasting
Wilson Fung, Lu Guo, Drake Hilliard +11
Accurate forecasting of package volumes at delivery stations is critical for last-mile logistics, where errors lead to inefficient resource allocation, higher costs, and delivery d…
cs.LG2025
Node-Level Financial Optimization in Demand Forecasting Through Dynamic Cost Asymmetry and Feedback Mechanism
Alessandro Casadei, Clemens Grupp, Sreyoshi Bhaduri +6
This work introduces a methodology to adjust forecasts based on node-specific cost function asymmetry. The proposed model generates savings by dynamically incorporating the cost as…