Publications

Ryan Kortvelesy, Steven Morad, Amanda Prorok (2023). Generalised $f$-Mean Aggregation for Graph Neural Networks. NeurIPS.

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Steven Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok (2023). Reinforcement Learning with Fast and Forgetful Memory. NeurIPS.

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Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok (2023). POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR.

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Ryan Kortvelesy, Steven Morad, Amanda Prorok (2023). Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS.

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Ryan Kortvelesy (2022). Fixed Integral Neural Networks. arXiv.

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Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok (2022). VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. DARS.

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Ryan Kortvelesy, Amanda Prorok (2022). QGNN: Value Function Factorisation with Graph Neural Networks. Under Review.

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