Arnu Pretorius
According to our database1,
Arnu Pretorius
authored at least 29 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
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
CoRR, 2023
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning.
CoRR, 2023
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A.
CoRR, 2023
CoRR, 2023
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
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
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
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
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
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