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Jonathan Shock

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Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning

Mar 31, 2023
Claude Formanek, Callum Rhys Tilbury, Jonathan Shock, Kale-ab Tessera, Arnu Pretorius

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Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning

Feb 01, 2023
Claude Formanek, Asad Jeewa, Jonathan Shock, Arnu Pretorius

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Causal Multi-Agent Reinforcement Learning: Review and Open Problems

Dec 01, 2021
St John Grimbly, Jonathan Shock, Arnu Pretorius

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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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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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