Jonathan P. Shock

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 9

Top Topics

Probability Density

Reinforcement Learning

Multi Agent Reinforcement Learning

Top Venues

Comput. Biol. Medicine

Publications

Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan P. Shock, Arnu Pretorius
Coordination Failure in Cooperative Offline MARL. CoRR (2024)
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 (2024)
Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR (2023)
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 (2023)
Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius
Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. AAMAS (2023)
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 (2023)
Daniel Taylor, Jonathan P. Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder
Brain Structural Saliency over the Ages. LOD (2) (2022)
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 (2019)
T. Clingman, Jeff Murugan, Jonathan P. Shock
Probability Density Functions from the Fisher Information Metric. CoRR (2015)