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20102023
most citedQPLEX: Duplex Dueling Multi-Agent Q-Learning

151 citations · 606 across the 63 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CE2019

Robust Data-driven Profile-based Pricing Schemes

Jingshi Cui, Haoxiang Wang, Chenye Wu +1

To enable an efficient electricity market, a good pricing scheme is of vital importance. Among many practical schemes, customized pricing is commonly believed to be able to best ex…

eess.SY2019

A Data-driven Storage Control Framework for Dynamic Pricing

Jiaman Wu, Zhiqi Wang, Chenye Wu +2

Dynamic pricing is both an opportunity and a challenge to the demand side. It is an opportunity as it better reflects the real time market conditions and hence enables an active de…

cs.LG2019★ 1 cited

Improving Fictitious Play Reinforcement Learning with Expanding Models

Rong-Jun Qin, Jing-Cheng Pang, Yang Yu

Fictitious play with reinforcement learning is a general and effective framework for zero-sum games. However, using the current deep neural network models, the implementation of fi…

cs.LG2019★ 2 cited

Vulnerability Analysis for Data Driven Pricing Schemes

Jingshi Cui, Haoxiang Wang, Chenye Wu +1

Data analytics and machine learning techniques are being rapidly adopted into the power system, including power system control as well as electricity market design. In this paper,…

eess.SY2019★ 1 cited

Optimal Storage Control for Dynamic Pricing

Jiaman Wu, Zhiqi Wang, Yang Yu +1

Renewable energy brings huge uncertainties to the power system, which challenges the traditional power system operation with limited flexible resources. One promising solution is t…

cs.LG2019

Hierarchic Neighbors Embedding

Shenglan Liu, Yang Yu, Yang Liu +3

Manifold learning now plays a very important role in machine learning and many relevant applications. Although its superior performance in dealing with nonlinear data distribution,…

cs.CL2019★ 2 cited

Out-of-Domain Detection for Low-Resource Text Classification Tasks

Ming Tan, Yang Yu, Haoyu Wang +4

Out-of-domain (OOD) detection for low-resource text classification is a realistic but understudied task. The goal is to detect the OOD cases with limited in-domain (ID) training da…

cs.CV2019★ 11 cited

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Ye Tian, Li Yang, Wei Wang +7

Goal: Squamous cell carcinoma of cervix is one of the most prevalent cancer worldwide in females. Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is hi…