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Aivar Sootla

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Structured Q-learning For Antibody Design

Sep 13, 2022
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Liu Furui, Jun Wang, Jan Peters, Haitham Bou Ammar

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Enhancing Safe Exploration Using Safety State Augmentation

Jun 06, 2022
Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou Ammar

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Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints

Jun 06, 2022
David Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang

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SEREN: Knowing When to Explore and When to Exploit

May 30, 2022
Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess

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SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

Feb 16, 2022
Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar

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Reinforcement Learning in Presence of Discrete Markovian Context Evolution

Feb 14, 2022
Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar

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DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention

Oct 27, 2021
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang

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Implicit Variational Conditional Sampling with Normalizing Flows

Jul 06, 2021
Vincent Moens, Aivar Sootla, Haitham Bou Ammar, Jun Wang

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