default search action
Arnu Pretorius
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c14]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 2024 - [c13]Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius:
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. ICML 2024 - [i31]Ibrahim Salihu Yusuf, Mukhtar Opeyemi Yusuf, Kobby Panford-Quainoo, Arnu Pretorius:
A Geospatial Approach to Predicting Desert Locust Breeding Grounds in Africa. CoRR abs/2403.06860 (2024) - [i30]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 abs/2406.09068 (2024) - [i29]Félix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett, Nathan Grinsztajn:
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization. CoRR abs/2406.16424 (2024) - [i28]Callum Rhys Tilbury, Claude Formanek, Louise Beyers, Jonathan P. Shock, Arnu Pretorius:
Coordination Failure in Cooperative Offline MARL. CoRR abs/2407.01343 (2024) - [i27]Ulrich A. Mbou Sob, Qiulin Li, Miguel Arbesú, Oliver Bent, Andries P. Smit, Arnu Pretorius:
Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets. CoRR abs/2407.13780 (2024) - [i26]Claude Formanek, Louise Beyers, Callum Rhys Tilbury, Jonathan P. Shock, Arnu Pretorius:
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning. CoRR abs/2409.12001 (2024) - [i25]Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Claude Formanek, Liam Clark, Arnu Pretorius:
Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning. CoRR abs/2410.01706 (2024) - [i24]Jemma Daniel, Ruan de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Claude Formanek, Arnu Pretorius:
Multi-Agent Reinforcement Learning with Selective State-Space Models. CoRR abs/2410.19382 (2024) - 2023
- [j3]Andries P. Smit
, Herman A. Engelbrecht, Willie Brink, Arnu Pretorius:
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football. Auton. Agents Multi Agent Syst. 37(1): 20 (2023) - [c12]Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning. AAMAS 2023: 2442-2444 - [c11]Scott Alexander Cameron, Arnu Pretorius, Stephen J. Roberts:
Nonparametric Boundary Geometry in Physics Informed Deep Learning. NeurIPS 2023 - [c10]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. NeurIPS 2023 - [i23]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 abs/2302.00521 (2023) - [i22]Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius:
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR abs/2304.00977 (2023) - [i21]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR abs/2306.09884 (2023) - [i20]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR abs/2311.13569 (2023) - [i19]Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D. Barrett, Arnu Pretorius:
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR abs/2311.17371 (2023) - [i18]Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius:
Generalisable Agents for Neural Network Optimisation. CoRR abs/2311.18598 (2023) - [i17]Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius:
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. CoRR abs/2312.08463 (2023) - [i16]Omayma Mahjoub, Ruan de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius:
Efficiently Quantifying Individual Agent Importance in Cooperative MARL. CoRR abs/2312.08466 (2023) - [i15]Wiem Khlifi, Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Abidine Vall, Rihab Gorsane, Arnu Pretorius:
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL. CoRR abs/2312.08468 (2023) - 2022
- [c9]Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts:
Robust and Scalable SDE Learning: A Functional Perspective. ICLR 2022 - [c8]Rihab Gorsane, Omayma Mahjoub, Ruan de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius:
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL. NeurIPS 2022 - [c7]Matthew Morris, Thomas D. Barrett, Arnu Pretorius:
Universally Expressive Communication in Multi-Agent Reinforcement Learning. NeurIPS 2022 - [i14]Matthew Morris, Thomas D. Barrett, Arnu Pretorius:
Universally Expressive Communication in Multi-Agent Reinforcement Learning. CoRR abs/2206.06758 (2022) - [i13]Rihab Gorsane, Omayma Mahjoub, Ruan de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius:
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL. CoRR abs/2209.10485 (2022) - 2021
- [i12]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:
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR abs/2107.01460 (2021) - [i11]Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts:
Robust and Scalable SDE Learning: A Functional Perspective. CoRR abs/2110.05167 (2021) - [i10]Kevin Eloff, Arnu Pretorius, Okko Räsänen, Herman A. Engelbrecht, Herman Kamper:
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel. CoRR abs/2111.02827 (2021) - [i9]Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius:
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. CoRR abs/2111.03904 (2021) - [i8]St John Grimbly, Jonathan P. Shock, Arnu Pretorius:
Causal Multi-Agent Reinforcement Learning: Review and Open Problems. CoRR abs/2111.06721 (2021) - 2020
- [j2]Arnu Pretorius, Herman Kamper
On the expected behaviour of noise regularised deep neural networks as Gaussian processes. Pattern Recognit. Lett. 138: 75-81 (2020) - [j1]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - [c6]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. NeurIPS 2020 - [c5]Elan Van Biljon, Arnu Pretorius, Julia Kreutzer:
On Optimal Transformer Depth for Low-Resource Language Translation. AfricaNLP 2020 - [i7]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR abs/2010.07777 (2020)
2010 – 2019
- 2019
- [c4]Ryan Eloff, André Nortje, Benjamin van Niekerk
Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks. INTERSPEECH 2019: 1103-1107 - [i6]Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan Van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper:
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks. CoRR abs/1904.07556 (2019) - [i5]Arnu Pretorius, Herman Kamper, Steve Kroon:
On the expected behaviour of noise regularised deep neural networks as Gaussian processes. CoRR abs/1910.05563 (2019) - [i4]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - [i3]Felix McGregor, Arnu Pretorius, Johan A. du Preez, Steve Kroon:
Stabilising priors for robust Bayesian deep learning. CoRR abs/1910.10386 (2019) - 2018
- [c3]Arnu Pretorius, Steve Kroon, Herman Kamper:
Learning Dynamics of Linear Denoising Autoencoders. ICML 2018: 4138-4147 - [c2]Arnu Pretorius, Elan Van Biljon, Steve Kroon, Herman Kamper:
Critical initialisation for deep signal propagation in noisy rectifier neural networks. NeurIPS 2018: 5722-5731 - [i2]Arnu Pretorius, Steve Kroon, Herman Kamper:
Learning Dynamics of Linear Denoising Autoencoders. CoRR abs/1806.05413 (2018) - [i1]Arnu Pretorius, Elan Van Biljon, Steve Kroon, Herman Kamper:
Critical initialisation for deep signal propagation in noisy rectifier neural networks. CoRR abs/1811.00293 (2018) - 2016
- [c1]Arnu Pretorius, Douglas A. Parry
Human Decision Making and Artificial Intelligence: A Comparison in the Domain of Sports Prediction. SAICSIT 2016: 32:1-32:10
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-30 00:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: