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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. The 31st AAAI conference on Artificial Intelligence. AAAI 2017.

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang and Dell Zhang. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2017.
Best Paper Award Honorable Mention

A Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors’ Demonstration

Lantao Yu*, Xuejian Wang*(equal contribution), Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2017.

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Lantao Yu*, Yaodong Yang*, Yiwei Bai*(equal contribution), Jun Wang, Weinan Zhang, Ying Wen, Yong Yu. NIPS-17 Aligned Artificial Intelligence Workshop.

Deep Reinforcement Learning for Green Security Game with Online Information

Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa and Fei Fang. AAAI-18 Artificial Intelligence for Imperfect-Information Games Workshop.

Recurrent Neural Networks Introduction

Generative Adversarial Networks Introduction

Sequence Generative Adversarial Nets with Policy Gradient

AAAI 2017 Review

Generative Adversarial Networks for Information Retrieval

Generative Adversarial Networks for Discrete Data