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Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function


Nov 19, 2022
Clément Bonnet, Laurence Midgley, Alexandre Laterre

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* Published at the 6th Workshop on Meta-Learning at NeurIPS 2022, New Orleans 

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Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories


May 28, 2022
Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

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* 10 pages, 4 figures, 1 table, and supplementary material 

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Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration


May 27, 2022
Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre

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One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning


Oct 30, 2021
Clément Bonnet, Paul Caron, Thomas Barrett, Ian Davies, Alexandre Laterre

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* 14 pages, 6 figures, 2 tables 

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Mava: a research framework for distributed multi-agent reinforcement learning


Jul 03, 2021
Arnu Pretorius, Kale-ab Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan Shock, Herman Kamper, Willie Brink, Herman Engelbrecht, Alexandre Laterre, Karim Beguir

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* 12 pages, 6 figures 

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Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning


Dec 03, 2020
Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Uğur Şahin, Karim Beguir

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Offline Reinforcement Learning Hands-On


Nov 29, 2020
Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir

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* Accepted at NeurIPS 2020 Offline Reinforcement Learning Workshop. First two authors contributed equally. Authors three and four advised equally 

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A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning


Oct 15, 2020
Arnu Pretorius, Scott Cameron, Elan van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir

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* 17 pages, 16 Figures, to appear in Advances of Neural Information Processing Systems (NeurIPS) conference, 2020 

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Learning Compositional Neural Programs for Continuous Control


Jul 27, 2020
Thomas Pierrot, Nicolas Perrin, Feryal Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

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Learning Compositional Neural Programs with Recursive Tree Search and Planning


May 30, 2019
Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas

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