Browse by UCL people
Group by: Type | Date
Number of items: 9.
Proceedings paper
Du, M;
Cowen-Rivers, AI;
Wen, Y;
Sakulwongtana, P;
Wang, J;
Brorsson, M;
State, R;
(2020)
Know your enemies and know yourself in the real-time bidding function optimisation.
In:
Proceedings of the 2019 International Conference on Data Mining Workshops (ICDMW).
(pp. pp. 973-981).
IEEE: Beijing, China.
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Qu, Y;
Cai, H;
Zhang, W;
Wen, Y;
Wang, J;
(2017)
Product-Based Neural Networks for User Response Prediction.
In: Bonchi, F and Domingo-Ferrer, J and Baeza-Yates, R and Zhou, ZH and Wu, Z, (eds.)
Proceedings of the 16th International Conference on Data Mining (ICDM).
(pp. pp. 1149-1154).
IEEE: Danvers (MA), USA.
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Tian, Z;
Wen, Y;
Gong, Z;
Punakkath, F;
Zou, S;
Wang, J;
(2019)
A regularized opponent model with maximum entropy objective.
In: Kraus, S, (ed.)
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19).
(pp. pp. 602-608).
International Joint Conferences on Artifical Intelligence (IJCAI): Macao, China.
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Wen, Y;
Yang, Y;
Luo, R;
Wang, J;
Pan, W;
(2019)
Probabilistic recursive reasoning for multi-agent reinforcement learning.
In:
Proceedings of the 7th International Conference on Learning Representations (ICLR 2019).
International Conference on Learning Representations (ICLR): New Orleans, LA, USA.
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Wen, Y;
zhang, W;
Luo, R;
Wang, J;
(2016)
Learning text representation using recurrent convolutional neural network with highway layers.
In:
Proceedings of the SIGIR 2016 Workshop on Neural Information Retrieval.
Association for Computing Machinery (ACM): Pisa, Italy.
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Yang, Y;
Wen, Y;
Yu, L;
Zhang, W;
Bai, Y;
Wang, J;
(2018)
A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
In:
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.
(pp. pp. 2133-2135).
ACM
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Zhang, H;
Wang, J;
Zhou, Z;
Zhang, W;
Wen, Y;
Yu, Y;
Li, W;
(2018)
Learning to design games: Strategic environments in reinforcement learning.
In:
(pp. pp. 3068-3074).
ArXiv
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Working / discussion paper
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Peng, P;
Wen, Y;
Yang, Y;
Yuan, Q;
Tang, Z;
Long, H;
Wang, J;
(2017)
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games.
ArXiv
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Thesis
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Wen, Ying;
(2020)
Modeling Mutual Influence in Multi-Agent Reinforcement Learning.
Doctoral thesis (Ph.D), UCL (University College London).
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