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Author

Omayma Mahjoub

Observed name: Mahjoub, Omayma
Observed institution: Stellenbosch University
OpenAlex ID: A5016637916
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
2022 · Rihab Gorsane, Omayma Mahjoub, et al. · neural information processing systems · 20
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Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
2023 · Bonnet, Clément, Luo, Daniel, et al. · arXiv (Cornell University) · 4
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Multi-Agent Reinforcement Learning with Selective State-Space Models
2025 · Jemma Daniel, Ruan John de Kock, et al. · Adaptive Agents and Multi-Agents Systems · 3
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Mava: a research library for distributed multi-agent reinforcement learning in JAX
2021 · de Kock, Ruan, Mahjoub, Omayma, et al. · arXiv (Cornell University) · 3
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Efficiently Quantifying Individual Agent Importance in Cooperative MARL
2023 · Mahjoub, Omayma, de Kock, Ruan, et al. · arXiv (Cornell University) · 1
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Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning
2026 · Hidaoui, Oussama, Ebead, Omer, et al. · arXiv (Cornell University)
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Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
2026 · Osman, Asim, Abramowitz, Sasha, et al. · arXiv (Cornell University)
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Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
2025 · Juan Formanek, Omayma Mahjoub, et al. · neural information processing systems
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
2025 · Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, et al. · neural information processing systems
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Sable: a Performant, Efficient and Scalable Sequence Model for MARL
2024 · Mahjoub, Omayma, Abramowitz, Sasha, et al. · arXiv (Cornell University)
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How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
2023 · Singh, Siddarth, Mahjoub, Omayma, et al. · arXiv (Cornell University)
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On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
2023 · Khlifi, Wiem, Singh, Siddarth, et al. · arXiv (Cornell University)
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Generalisable Agents for Neural Network Optimisation
2023 · Tessera, Kale-ab, Tilbury, Callum Rhys, et al. · arXiv (Cornell University)
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Works count: 14
Citation count: 31
H-index: 3
I10-index: 1
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