Jonathan Shock

According to our database, Jonathan Shock authored at least 22 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Assessing the Case for Africa-Centric AI Safety Evaluations.

Gathoni Ireri, Cecil Abungu, Jean Cheptumo, Sienka Dounia, Mark Gitau, Stephanie Kasaon, Michael Michie, Chinasa Okolo, Jonathan Shock

CoRR, February, 2026

PyBatchRender: A Python Library for Batched 3D Rendering at Up to One Million FPS.

Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley

CoRR, January, 2026

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning.

Claude Formanek, Louise Beyers, Callum Rhys Tilbury, Jonathan P. Shock, Arnu Pretorius

J. Data-centric Mach. Learn. Res., 2026

2025

Graph-Based Exploration for ARC-AGI-3 Interactive Reasoning Tasks.

Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley

CoRR, December, 2025

Energy Costs and Neural Complexity Evolution in Changing Environments.

Sian Heesom-Green, Jonathan Shock, Geoff Nitschke

CoRR, November, 2025

Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning.

Oluwaseyi Giwa, Jonathan Shock, Jaco Du Toit, Tobi Awodumila

CoRR, September, 2025

Toward an African Agenda for AI Safety.

Samuel T. Segun, Rachel Adams, Ana Florido, Scott Timcke, Jonathan Shock, Leah Junck, Fola Adeleke, Nicolas Grossman, Ayantola Alayande, Jerry John Kponyo, Matthew Smith, Dickson Marfo Fosu, Prince Dawson Tetteh, Juliet Arthur, Stephanie Kasaon, Odilile Ayodele, Laetitia Badolo, Paul Plantinga, Michael Gastrow, Sumaya Nur Adan, Joanna Wiaterek, Cecil Abungu, Kojo Apeagyei, Luise Eder, Tegawendé F. Bissyandé

CoRR, August, 2025

SSSUMO: Real-Time Semi-Supervised Submovement Decomposition.

Evgenii Rudakov, Jonathan Shock, Otto Lappi, Benjamin Ultan Cowley

CoRR, July, 2025

Is an Exponentially Growing Action Space Really that Bad? Validating a Core Assumption for using Multi-Agent RL.

Ruan de Kock, Arnu Pretorius, Jonathan P. Shock

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Opportunities of Reinforcement Learning in South Africa's Just Transition.

Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock

CoRR, 2024

Coordination Failure in Cooperative Offline MARL.

Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan Shock, Arnu Pretorius

CoRR, 2024

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation.

Juan Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan Shock, Arnu Pretorius

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning.

Rowan Hodson, Bruce A. Bassett, Charel van Hoof, Benjamin Rosman, Mark Solms, Jonathan P. Shock, Ryan Smith

CoRR, 2023

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning.

Claude Formanek, Callum Rhys Tilbury, Jonathan Shock, Kale-ab Abebe Tessera, Arnu Pretorius

CoRR, 2023

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

Claude Formanek, Asad Jeewa, Jonathan Shock, Arnu Pretorius

CoRR, 2023

Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments.

Edan Toledo, Jan Buys, Jonathan Shock

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning.

Claude Formanek, Asad Jeewa, Jonathan Shock, Arnu Pretorius

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Brain Structural Saliency over the Ages.

Daniel Taylor, Jonathan Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Causal Multi-Agent Reinforcement Learning: Review and Open Problems.

St John Grimbly, Jonathan Shock, Arnu Pretorius

CoRR, 2021

2020

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

Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness.

Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Justinus Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon

Comput. Biol. Medicine, 2019

2015

Probability Density Functions from the Fisher Information Metric.

T. Clingman, Jeff Murugan, Jonathan P. Shock

CoRR, 2015