Jonathan Shock

Jonathan Shock

University of Cape Town

H-index: 27

Africa-South Africa

About Jonathan Shock

Jonathan Shock, With an exceptional h-index of 27 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Cape Town, specializes in the field of Reinforcement learning, String theory, cognitive and computational neuroscience, medical data analysis, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Designing catalysts via evolutionary-based optimization techniques

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

Policy-based reinforcement learning for generalisation in interactive text-based environments

Reduce, reuse, recycle: Selective reincarnation in multi-agent reinforcement learning

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

Brain structural saliency over the ages

Understanding the widespread use of veterinary ivermectin for Chagas disease, underlying factors and implications for the COVID-19 pandemic: a convergent mixed-methods study

A sequence modelling approach to question answering in text-based games

Jonathan Shock Information

University

Position

Senior lecturer in Mathematics and Applied Mathematics

Citations(all)

1970

Citations(since 2020)

744

Cited By

1505

hIndex(all)

27

hIndex(since 2020)

14

i10Index(all)

42

i10Index(since 2020)

25

Email

University Profile Page

University of Cape Town

Google Scholar

View Google Scholar Profile

Jonathan Shock Skills & Research Interests

Reinforcement learning

String theory

cognitive and computational neuroscience

medical data analysis

machine learning

Top articles of Jonathan Shock

Title

Journal

Author(s)

Publication Date

Designing catalysts via evolutionary-based optimization techniques

Parastoo Agharezaei

Tanay Sahu

Jonathan Shock

Paul G O'Brien

Kulbir Kaur Ghuman

2023/1/5

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

ArXiv

Rowan Hodson

Bruce Bassett

Charel van Hoof

Benjamin Rosman

Mark Solms

...

2023/8/15

Policy-based reinforcement learning for generalisation in interactive text-based environments

Edan Toledo

Jan Buys

Jonathan Shock

2023/5

Reduce, reuse, recycle: Selective reincarnation in multi-agent reinforcement learning

Workshop on Reincarnating Reinforcement Learning at ICLR 2023

Claude Formanek

Callum Rhys Tilbury

Jonathan Shock

Kale-ab Tessera

Arnu Pretorius

2023/3/31

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

arXiv preprint arXiv:2302.00521

Claude Formanek

Asad Jeewa

Jonathan Shock

Arnu Pretorius

2023/2/1

Brain structural saliency over the ages

Daniel Taylor

Jonathan Shock

Deshendran Moodley

Jonathan Ipser

Matthias Treder

2022/9/19

Understanding the widespread use of veterinary ivermectin for Chagas disease, underlying factors and implications for the COVID-19 pandemic: a convergent mixed-methods study

BMJ open

Boris Apodaca Michel

Miriam Navarro

Michael Pritsch

Jeremy Douglas Du Plessis

Jonathan Shock

...

2022/9/1

A sequence modelling approach to question answering in text-based games

Greg Furman

Edan Toledo

Jonathan Shock

Jan Buys

2022

Strongly coupled heavy and light quark thermal motion from AdS/CFT

Annals of Physics

AK Mes

RW Moerman

JP Shock

WA Horowitz

2022/1/1

Correlation constraints for regression models: Controlling bias in brain age prediction

Frontiers in psychiatry

Matthias S Treder

Jonathan P Shock

Dan J Stein

StéFan Du Plessis

Soraya Seedat

...

2021/2/18

Causal multi-agent reinforcement learning: Review and open problems

St John Grimbly

Jonathan Shock

Arnu Pretorius

2021/11/12

Herenga Delta 2021 Values and Variables

Inae Jeong

Bathi Kasturiarachi

Jungeun Park

Thomas Lumley

Elena Nardi

...

2021

Remarks on fermions in a dipole magnetic field

Journal of High Energy Physics

Jeff Murugan

Jonathan P Shock

Ruach Pillay Slayen

2021/10

Exploring mathematical mindset in question design: Boaler's taxonomy applied to university mathematics

Anita L Campbell

Mashudu Mokhithi

Jonathan P Shock

2021/1/1

An analysis of the time-frequency structure of several bursts from FRB 121102 detected with MeerKAT

Monthly Notices of the Royal Astronomical Society

E Platts

M Caleb

BW Stappers

RA Main

A Weltman

...

2021/8

Mava: A research framework for distributed multi-agent reinforcement learning

arXiv preprint arXiv:2107.01460v1

Arnu Pretorius

Kale-ab Tessera

Andries P Smit

Claude Formanek

St John Grimbly

...

2021/7/3

Astrophysical quantum matter: spinless charged particles on a magnetic dipole sphere

General Relativity and Gravitation

Jeff Murugan

Jonathan P Shock

Ruach Pillay Slayen

2021/3

“We have already heard that the treatment doesn't do anything, so why should we take it?”: A mixed method perspective on Chagas disease knowledge, attitudes, prevention, and …

PLoS neglected tropical diseases

Sandra Parisi

Miriam Navarro

Jeremy Douglas Du Plessis

Jonathan Phillip Shock

Boris Apodaca Michel

...

2020/10/29

Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters

Translational psychiatry

Willem B Bruin

Luke Taylor

Rajat M Thomas

Jonathan P Shock

Paul Zhutovsky

...

2020/10/8

Magnetic catalysis and the chiral condensate in holographic QCD

Journal of High Energy Physics

Ballon-Bayona Alfonso

Jonathan P Shock

Zoakos Dimitrios

2020/10/1

See List of Professors in Jonathan Shock University(University of Cape Town)

Co-Authors

H-index: 54
Jiro Soda

Jiro Soda

Kobe University

H-index: 31
Sugumi Kanno

Sugumi Kanno

Kyushu University

H-index: 23
Jeff Murugan

Jeff Murugan

University of Cape Town

H-index: 22
Javier Tarrío

Javier Tarrío

Helsingin yliopisto

H-index: 20
René Meyer

René Meyer

Julius-Maximilians-Universität Würzburg

H-index: 19
Dimitrios Zoakos

Dimitrios Zoakos

National and Kapodistrian University of Athens

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