Callum Rhys Tilbury

2022202320245 12 7

Arnu PretoriusSenior Research Scientist, InstaDeep LtdVerified email at instadeep.com
Kale-ab TesseraPhD Student, University of EdinburghVerified email at ed.ac.uk
Claude FormanekPhD Candidate, University of Cape TownVerified email at myuct.ac.za
Jonathan ShockAssociate Professor in Mathematics and Applied Mathematics, University of Cape TownVerified email at uct.ac.za
Dries SmitInstaDeep, Stellenbosch UniversityVerified email at sun.ac.za
Stefano V. AlbrechtSchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Filippos ChristianosUniversity of EdinburghVerified email at ed.ac.uk
Omayma MahjoubResearch Engineer, InstaDeep LtdVerified email at instadeep.com
Ruan John de KockResearch Engineer, InstaDeep LtdVerified email at instadeep.com
Sasha AbramowitzInstaDeepVerified email at myuct.ac.za
Sara HookerHead of Cohere For AIVerified email at cohere.com
Benjamin RosmanProfessor at the University of the Witwatersrand, South AfricaVerified email at wits.ac.za
Oisín NolanEindhoven University of TechnologyVerified email at tue.nl

Callum Rhys Tilbury

InstaDeep Ltd

Verified email at instadeep.com - Homepage


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Mava: A research framework for distributed multi-agent reinforcement learning A Pretorius, K Tessera, AP Smit, C Formanek, SJ Grimbly, K Eloff, ... arXiv e-prints, arXiv: 2107.01460, 2021	14	2021
Reinforcement Learning for Economic Policy: A New Frontier? CR Tilbury arXiv preprint arXiv:2206.08781, 2022	5*	2022
Reduce, reuse, recycle: Selective reincarnation in multi-agent reinforcement learning C Formanek, CR Tilbury, J Shock, K Tessera, A Pretorius arXiv preprint arXiv:2304.00977, 2023	3	2023
Revisiting the Gumbel-Softmax in MADDPG CR Tilbury, F Christianos, SV Albrecht arXiv preprint arXiv:2302.11793, 2023	2	2023
DAB Processing Chain for Passive Radar Applications C Tilbury BS Thesis, Dept Electrical Eng, UCT, Cape Town, 2020	1	2020
Generalisable Agents for Neural Network Optimisation CR Tilbury, S Abramowitz, RJ de Kock, O Mahjoub, B Rosman, S Hooker, ... OPT 2023: Optimization for Machine Learning, 2023		2023

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