6 citations · 18 across the 5 of their papers we have counts for
5 papers
Reinforcement Learning for Dynamic Bidding in Truckload Markets: an Application to Large-Scale Fleet Management with Advance Commitments
Yingfei Wang, Juliana Martins Do Nascimento, Warren Powell
Truckload brokerages, a $100 billion/year industry in the U.S., plays the critical role of matching shippers with carriers, often to move loads several days into the future. Broker…
Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks
Yingfei Wang, Chu Wang, Warren Powell
We consider the problem of sequentially making decisions that are rewarded by "successes" and "failures" which can be predicted through an unknown relationship that depends on a pa…
MOLTE: a Modular Optimal Learning Testing Environment
Yingfei Wang, Warren Powell
We address the relative paucity of empirical testing of learning algorithms (of any type) by introducing a new public-domain, Modular, Optimal Learning Testing Environment (MOLTE)…
An optimal learning method for developing personalized treatment regimes
Yingfei Wang, Warren Powell
A treatment regime is a function that maps individual patient information to a recommended treatment, hence explicitly incorporating the heterogeneity in need for treatment across…
Finite-time Analysis for the Knowledge-Gradient Policy
Yingfei Wang, Warren Powell
We consider sequential decision problems in which we adaptively choose one of finitely many alternatives and observe a stochastic reward. We offer a new perspective of interpreting…