NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (22)

cs.LG2018

Policy Optimization with Model-based Explorations

Feiyang Pan, Qingpeng Cai, An-Xiang Zeng +5

cs.GT2015

Mechanism design for resource allocation with applications to centralized multi-commodity routing

Qipeng Liu, Yicheng Liu, Pingzhong Tang

cs.GT2019

Optimal mechanisms with budget for user generated contents

Mengjing Chen, Pingzhong Tang, Zihe Wang +2

cs.GT2016

Optimal Auctions for Negatively Correlated Items

Pingzhong Tang, Zihe Wang

cs.GT2016

Approximation of barter exchanges with cycle length constraints

Suiqian Luo, Pingzhong Tang, Chenggang Wu +1

cs.GT2014

Online Mechanism Design for Cloud Computing

Weidong Ma, Bo Zheng, Tao Qin +2

cs.GT2015

Unit-sphere games

Pingzhong Tang, Hanrui Zhang

cs.GT2015

Computational issues in time-inconsistent planning

Pingzhong Tang, Yifeng Teng, Zihe Wang +2

cs.GT2016

Optimal dynamic mechanisms with ex-post IR via bank accounts

Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang +1

cs.GT2015

Optimal commitments in auctions with incomplete information

Zihe Wang, Pingzhong Tang

cs.GT2014

The Multi-shop Ski Rental Problem

Lingqing Ai, Xian Wu, Lingxiao Huang +3

cs.GT2017

Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions

Weiran Shen, Binghui Peng, Hanpeng Liu +7

cs.MA2018

Reinforcement Mechanism Design for e-commerce

Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang +1

cs.GT2016

How to manipulate truthful prior-dependent mechanisms?

Pingzhong Tang, Yulong Zeng

cs.LG2019

Policy Gradients for Contextual Recommendations

Feiyang Pan, Qingpeng Cai, Pingzhong Tang +2

cs.GT2014

Optimal mechanisms with simple menus

Zihe Wang, Pingzhong Tang

cs.GT2018

Optimal Dynamic Auctions are Virtual Welfare Maximizers

Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang +1

cs.AI2018

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

Ling Pan, Qingpeng Cai, Zhixuan Fang +2

cs.LG2019

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Feiyang Pan, Shuokai Li, Xiang Ao +2

cs.LG2018

Deterministic Policy Gradients With General State Transitions

Qingpeng Cai, Ling Pan, Pingzhong Tang

cs.GT2016

On the power of dominated players in team competitions

Kai Jin, Pingzhong Tang, Shiteng Chen

cs.GT2012

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare

Tyler Lu, Pingzhong Tang, Ariel D. Procaccia +1