Jonathan Shock

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Theoretic Analysis

Reinforcement Learning

Multi Agent Reinforcement Learning

Top Venues

Publications

Edan Toledo, Jan Buys, Jonathan Shock
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments. EACL (2023)
Daniel Taylor, Jonathan Shock, Deshendran Moodley, Jonathan Ipser, Matthias Treder
Brain Structural Saliency Over The Ages. CoRR (2022)
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 A. Engelbrecht, Alexandre Laterre, Karim Beguir
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR (2021)
St John Grimbly, Jonathan Shock, Arnu Pretorius
Causal Multi-Agent Reinforcement Learning: Review and Open Problems. CoRR (2021)
Arnu Pretorius, Scott Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan 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)
Arnu Pretorius, Scott Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR (2020)