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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu: SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. CoRR abs/1609.05473 (2016)
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An Empirical Study of AI Population Dynamics with Million-agent Reinforcement...
Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu: An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR abs/1709.04511 (2017)
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IRGAN: A Minimax Game for Unifying Generative and Discriminative Information...
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang: IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. CoRR...
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IRGAN: A Minimax Game for Unifying Generative and Discriminative Information...
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang: IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. SIGIR 2017:...
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Dynamic Attention Deep Model for Article Recommendation by Learning Human...
Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang: Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD 2017: 2051-2059
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu: SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. AAAI 2017: 2852-2858
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Deep Reinforcement Learning for Green Security Games with Real-Time Information.
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang: Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR abs/1811.02483 (2018)
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Understanding the Effectiveness of Lipschitz Constraint in Training of GANs...
Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu: Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. CoRR abs/1807.00751 (2018)
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Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Haidong Zhang, Fei Fang: Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. CoRR abs/1805.05356 (2018)
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CoT: Cooperative Training for Generative Modeling.
Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu: CoT: Cooperative Training for Generative Modeling. CoRR abs/1804.03782 (2018)
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Location-Directed Image Modeling and its Application to Image Interpolation.
Lantao Yu, Michael T. Orchard: Location-Directed Image Modeling and its Application to Image Interpolation. ICIP 2018: 2192-2196
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Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang: Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. COMPASS 2018: 29:1-29:8
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A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang: A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS 2018: 2133-2135
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Deep Reinforcement Learning for Green Security Game with Online Information.
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang: Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops 2018: 325-333
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Improving Unsupervised Domain Adaptation with Variational Information...
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu: Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR abs/1911.09310...
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Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon: Meta-Inverse Reinforcement Learning with Probabilistic Context Variables. CoRR abs/1909.09314 (2019)
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Multi-Agent Adversarial Inverse Reinforcement Learning.
Lantao Yu, Jiaming Song, Stefano Ermon: Multi-Agent Adversarial Inverse Reinforcement Learning. CoRR abs/1907.13220 (2019)
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Lipschitz Generative Adversarial Nets.
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang: Lipschitz Generative Adversarial Nets. CoRR abs/1902.05687 (2019)
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Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon: Meta-Inverse Reinforcement Learning with Probabilistic Context Variables. NeurIPS 2019: 11749-11760
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Lipschitz Generative Adversarial Nets.
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang: Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593
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