Arnu Pretorius

According to our database1, Arnu Pretorius authored at least 29 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football.
Auton. Agents Multi Agent Syst., June, 2023

On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL.
CoRR, 2023

Efficiently Quantifying Individual Agent Importance in Cooperative MARL.
CoRR, 2023

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning.
CoRR, 2023

Generalisable Agents for Neural Network Optimisation.
CoRR, 2023

Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A.
CoRR, 2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.
CoRR, 2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.
CoRR, 2023

Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning.
CoRR, 2023

Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning.
CoRR, 2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonparametric Boundary Geometry in Physics Informed Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards a Standardised Performance Evaluation Protocol for Cooperative MARL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust and Scalable SDE Learning: A Functional Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems.
CoRR, 2021

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa.
CoRR, 2021

Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel.
CoRR, 2021

Mava: a research framework for distributed multi-agent reinforcement learning.
CoRR, 2021

2020
On the expected behaviour of noise regularised deep neural networks as Gaussian processes.
Pattern Recognit. Lett., 2020

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.
Pattern Recognit. Lett., 2020

On Optimal Transformer Depth for Low-Resource Language Translation.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Stabilising priors for robust Bayesian deep learning.
CoRR, 2019

Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks.
Proceedings of the Interspeech 2019, 2019

2018
Critical initialisation for deep signal propagation in noisy rectifier neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Dynamics of Linear Denoising Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Human Decision Making and Artificial Intelligence: A Comparison in the Domain of Sports Prediction.
Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, 2016


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