Arnu Pretorius

13 papers · 2018–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Keyword Champion 👥 Mega-Team · Squad 🧬 Topic Evolution 👑 Triple Crown 💎 Century Club · Bronze 🗃️ Keyword Collector (66) ❓ The Questioner

Venues

NeurIPS (7) ICML (3) ICLR (2) Interspeech (1)

Top co-authors

Elan van Biljon (3) Ruan John de Kock (3) Omayma Mahjoub (3) Nathan Grinsztajn (3) Alexandre Laterre (3) Herman Kamper (3) Jonathan Shock (2) Andries Petrus Smit (2) Siddarth Singh (2) Steve Kroon (2)

Research topics

Machine Learning (8) Artificial Intelligence (6) Reinforcement Learning (6) Core AI (6) Methods (6) Deep Learning (5) Architectures (4) Learning Types (4) Optimization & Theory (3) Core Methods (2) Models (2) Natural Language Processing (1) Speech & Audio (1) Application Areas (1) Generation (1)

Keywords

multi-agent reinforcement learning (5) unsupervised learning (2) generative modeling (1) game theory (1) reinforcement learning (1) benchmark evaluation (1) offline reinforcement learning (1) vector quantization (1) denoising autoencoder (1) temporal reasoning (1) speech synthesis (1) evaluation methodology (1) gradient estimation (1) parallel computing (1) importance sampling (1) mean field theory (1) signal propagation (1) stochastic regularization (1) representation learning (1) combinatorial optimization (1)

Papers

Sable: a Performant, Efficient and Scalable Sequence Model for MARL ICML 2025 Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation NeurIPS 2024 Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ICLR 2024 Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs ICML 2024 Combinatorial Optimization with Policy Adaptation using Latent Space Search NeurIPS 2023 Nonparametric Boundary Geometry in Physics Informed Deep Learning NeurIPS 2023 Robust and Scalable SDE Learning: A Functional Perspective ICLR 2022 Towards a Standardised Performance Evaluation Protocol for Cooperative MARL NeurIPS 2022 Universally Expressive Communication in Multi-Agent Reinforcement Learning NeurIPS 2022 A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning NeurIPS 2020 Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks Interspeech 2019 Critical initialisation for deep signal propagation in noisy rectifier neural networks NeurIPS 2018 Learning Dynamics of Linear Denoising Autoencoders ICML 2018