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20192026
most citedConstrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

1 citations · 1 across the 5 of their papers we have counts for

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math.OC2025

Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing

Chengrui Qu, Huiwen Jia, Pengcheng You

We consider decision-making problems under decision-dependent uncertainty (DDU), where the distribution of uncertain parameters depends on the decision variables and is only observ…

math.OC2024

A Unified Analysis of Saddle Flow Dynamics: Stability and Algorithm Design

Pengcheng You, Yingzhu Liu, Enrique Mallada

This work examines the conditions for asymptotic and exponential convergence of saddle flow dynamics of convex-concave functions. First, we propose an observability-based certifica…

math.OC2021

A Market Mechanism for Truthful Bidding with Energy Storage

Rajni Kant Bansal, Pengcheng You, Dennice F. Gayme +1

This paper proposes a market mechanism for multi-interval electricity markets with generator and storage participants. Drawing ideas from supply function bidding, we introduce a no…

math.OC2021

Mechanism Design for Efficient Nash Equilibrium in Oligopolistic Markets

Kaiying Lin, Beibei Wang, Pengcheng You

This paper investigates the efficiency loss in social cost caused by strategic bidding behavior of individual participants in a supply-demand balancing market, and proposes a mecha…

math.OC2020

Storage Degradation Aware Economic Dispatch

R. K. Bansal, P. You, D. F. Gayme +1

In this paper, we formulate a cycling cost aware economic dispatch problem that co-optimizes generation and storage dispatch while taking into account cycle based storage degradati…

math.OC2020

Saddle Flow Dynamics: Observable Certificates and Separable Regularization

Pengcheng You, Enrique Mallada

This paper proposes a certificate, rooted in observability, for asymptotic convergence of saddle flow dynamics of convex-concave functions to a saddle point. This observable certif…