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Towards Incremental Cylindrical Algebraic Decomposition in Maple.
Alexander Imani Cowen-Rivers, Matthew England: Towards Incremental Cylindrical Algebraic Decomposition in Maple. CoRR abs/1805.10136 (2018)
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Summer Research Report: Towards Incremental Lazard Cylindrical Algebraic...
Alexander Imani Cowen-Rivers, Matthew England: Summer Research Report: Towards Incremental Lazard Cylindrical Algebraic Decomposition. CoRR abs/1804.08564 (2018)
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Towards Incremental Cylindrical Algebraic Decomposition in Maple.
Alexander I. Cowen-Rivers, Matthew England: Towards Incremental Cylindrical Algebraic Decomposition in Maple. SC-Square@FLOC 2018: 3
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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph...
Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang: Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR...
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Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with...
Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State: Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable...
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Neural Variational Inference For Estimating Knowledge Graph Embedding...
Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak: Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI...
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Know Your Enemies and Know Yourself in the Real-Time Bidding Function...
Manxing Du, Alexander I. Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State: Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. ICDM...
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RL: Generic reinforcement learning codebase in TensorFlow.
Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez: RL: Generic reinforcement learning...
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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar: Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR...
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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar: HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR abs/2012.03826 (2020)
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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for...
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves,...
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SAMBA: Safe Model-Based & Active Reinforcement Learning.
Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar: SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR...
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Emergent Communication with World Models.
Alexander I. Cowen-Rivers, Jason Naradowsky: Emergent Communication with World Models. CoRR abs/2002.09604 (2020)
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SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous...
Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang...
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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep...
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar:...
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Are We Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar: Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn....
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Structured Q-learning For Antibody Design.
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar: Structured Q-learning For Antibody Design. CoRR abs/2209.04698 (2022)
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Enhancing Safe Exploration Using Safety State Augmentation.
Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar: Enhancing Safe Exploration Using Safety State Augmentation. CoRR abs/2206.02675 (2022)
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SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation.
Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar: SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR...
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AntBO: Towards Real-World Automated Antibody Design with Combinatorial...
Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar:...
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Learning Geometric Constraints in Task and Motion Planning.
Tianyu Ren, Alexander Imani Cowen-Rivers, Haitham Bou-Ammar, Jan Peters: Learning Geometric Constraints in Task and Motion Planning. CoRR abs/2201.09612 (2022)
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Enhancing Safe Exploration Using Safety State Augmentation.
Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou-Ammar: Enhancing Safe Exploration Using Safety State Augmentation. NeurIPS 2022
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Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation.
Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar: Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML...
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SAMBA: safe model-based & active reinforcement learning.
Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar: SAMBA: safe model-based & active reinforcement learning. Mach. Learn....
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HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar: HEBO: An Empirical...
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Pushing The Limits of Sample-Efficient Optimisation.
Alexander Imani Cowen-Rivers: Pushing The Limits of Sample-Efficient Optimisation. Technical University of Darmstadt, Germany, 2023
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