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2020 – today
- 2024
[i11]Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan P. Shock, Arnu Pretorius:
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation. CoRR abs/2406.09068 (2024)- [i10]Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan P. Shock, Arnu Pretorius:
Coordination Failure in Cooperative Offline MARL. CoRR abs/2407.01343 (2024) - [i9]Claude Formanek, Louise Beyers, Callum Rhys Tilbury, Jonathan P. Shock, Arnu Pretorius:
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning. CoRR abs/2409.12001 (2024) - 2023
- [c4]Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. AAMAS 2023: 2442-2444 - [c3]Edan Toledo, Jan Buys
, Jonathan P. Shock:
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments. EACL 2023: 1222-1234 - [i8]Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning. CoRR abs/2302.00521 (2023) - [i7]Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius:
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR abs/2304.00977 (2023) - [i6]Rowan Hodson, Bruce Bassett, Charel van Hoof, Benjamin Rosman, Mark Solms, Jonathan P. Shock, Ryan Smith:
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning. CoRR abs/2308.08029 (2023) - 2022
- [c2]Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency over the Ages. LOD (2) 2022: 525-548 - [i5]Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder:
Brain Structural Saliency Over The Ages. CoRR abs/2202.11690 (2022) - 2021
- [i4]Arnu Pretorius, Kale-ab Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan P. Shock, Herman Kamper, Willie Brink, Herman A. Engelbrecht, Alexandre Laterre, Karim Beguir:
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR abs/2107.01460 (2021) - [i3]St John Grimbly, Jonathan P. Shock, Arnu Pretorius:
Causal Multi-Agent Reinforcement Learning: Review and Open Problems. CoRR abs/2111.06721 (2021) - 2020
- [c1]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. NeurIPS 2020 - [i2]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR abs/2010.07777 (2020)
2010 – 2019
- 2019
- [j1]Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon:
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness. Comput. Biol. Medicine 107: 145-152 (2019) - 2015
- [i1]T. Clingman, Jeff Murugan, Jonathan P. Shock:
Probability Density Functions from the Fisher Information Metric. CoRR abs/1504.03184 (2015)
Coauthor Index
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