Publications

41.

Tonghan Wang, Jianhao Wang, Yi Wu , Chongjie Zhang. Influence-Based Multi-Agent Exploration. .  

40.

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, and Chongjie Zhang. Object-Oriented Dynamics Learning through Multi-Level Abstraction. , AAAI 2020.  

39.

Siyuan Li, Rui Wang, Minxue Tang and Chongjie Zhang. Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. , NeurIPS, 2019.  

38.

Siyuan Li, Fangda Gu, Guangxiang Zhu, and Chongjie Zhang. Context-Aware Policy Reuse. , AAMAS, 2019.  

37.

Soo-Jin Moon, Jeffrey Helt, Yifei Yuan, Yves Bieri, Sujata Banerjee,Vyas Sekar, Wenfei Wu, Mihalis Yannakakis, Ying Zhang. Alembic: Automated Model Inference for Stateful Network Functions. , NSDI 2019.  

36.

Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Pingzhong Tang. Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. , AAAI 2020.  

35.

Qingpeng Cai, Ling Pan, Pingzhong Tang,. Deterministic Value-Policy Gradients. , AAAI 2020.  

34.

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He. Policy Gradients for Contextual Recommendations. ,  WWW 2019.  

33.

Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He. Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. ,  SIGIR 2019.  

32.

Weiran Shen, Pingzhong Tang, Yulong Zeng. Buyer Signaling Games in Auctions. , AAMAS 2019.  

31.

Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang. Policy Optimization with Model-Based Explorations. , AAAI 2019.  

30.

Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang. Making Money from What You Know - How to Sell Information?. , AAAI 2019.  

29.

Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo. Learning Optimal Strategies to Commit To. , AAAI 2019.  

28.

Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo. Optimal Dynamic Auctions Are Virtual Welfare Maximizers. , AAAI 2019.  

27.

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. , AAAI 2019.  

26.

Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching through Pricing: Modeling Ride-Sharing Markets and Designing Dynamic Prices. .  

25.

Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang,Xiwang Yang. Optimal Common Contract with Heterogeneous Agents. .  

24.

Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching Through Pricing: Modeling Ride-sharing and Designing Dynamic Prices. , IJCAI 2019.