Jonathan P. Shock

According to our database, Jonathan P. Shock authored at least 10 papers between 2015 and 2023.

Collaborative distances:

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

2023

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

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

CoRR, 2023

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

Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab 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 P. Shock, Arnu Pretorius

CoRR, 2023

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

Claude Formanek, Asad Jeewa, Jonathan P. 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 P. 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 P. Shock, Arnu Pretorius

CoRR, 2021

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

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

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 P. 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 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