- 1244. Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen. DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. , BMC Bioinformatics volume 20, Article number: 678 (2019).
- 1243. Xinliang Song, Tonghan Wang, Chongjie Zhang. Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. , AAMAS 2019.
- 1242. Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng. Efficiently Detecting and Optimally Responding Towards Sophisticated Opponents. , IJCAI 2019.
- 1241. Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng. Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. , AAMAS 2019..
- 1240. Guangxiang Zhu, Zichuan Lin, Chongjie Zhang. Episodic Reinforcement Learning with Associated Memory. .
- 1239. Tonghan Wang , Jianhao Wang , Chongyi Zheng, Chongjie Zhang. Learning Nearly Decomposable Value Functions Via Communication Minimization. .
- 1238. Tonghan Wang, Jianhao Wang, Yi Wu , Chongjie Zhang. Influence-Based Multi-Agent Exploration. .
- 1237. Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, and Chongjie Zhang. Object-Oriented Dynamics Learning through Multi-Level Abstraction. , AAAI 2020.
- 1236. Siyuan Li, Rui Wang, Minxue Tang and Chongjie Zhang. Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. , NeurIPS, 2019.
- 1235. Siyuan Li, Fangda Gu, Guangxiang Zhu, and Chongjie Zhang. Context-Aware Policy Reuse. , AAMAS, 2019.
- 1234. 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.
- 1233. Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Pingzhong Tang. Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. , AAAI 2020.
- 1232. Qingpeng Cai, Ling Pan, Pingzhong Tang,. Deterministic Value-Policy Gradients. , AAAI 2020.
- 1231. Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He. Policy Gradients for Contextual Recommendations. , WWW 2019.
- 1230. 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.
- 1229. Weiran Shen, Pingzhong Tang, Yulong Zeng. Buyer Signaling Games in Auctions. , AAMAS 2019.
- 1228. 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.
- 1227. Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang. Making Money from What You Know - How to Sell Information?. , AAAI 2019.
