Publications

(2024). How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. eXplainable AI approaches for deep reinforcement learning (XAI4DRL) Workshop @ AAAI, 2024.

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(2024). Efficiently Quantifying Individual Agent Importance in Cooperative MARL. (Oral) eXplainable AI approaches for deep reinforcement learning (XAI4DRL) Workshop @ AAAI, 2024.

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(2023). Generalisable Agents for Neural Network Optimisation. WANT@ NeurIPS 2023 and OPT NeurIPS 2023 workshops.

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(2023). Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. Deep Generative Models for Health Workshop NeurIPS 2023.

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(2023). Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. (Oral) Workshop on Reincarnating Reinforcement Learning at ICLR 2023.

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(2022). Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules. Dynamic Neural Networks ICML Workshop 2022.

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(2021). On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. AI + HADR 2021 and ML4D 2021 NeurIPS Workshops.

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(2021). Mava: a research framework for distributed multi-agent reinforcement learning.

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(2021). Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. Sparsity in Neural Networks Workshop 2021.

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