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05/13/2023
Spiking Network Initialisation and Firing Rate Collapse
In recent years, newly developed methods to train spiking neural network...
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01/18/2023
Human-Timescale Adaptation in an Open-Ended Task Space
Foundation models have shown impressive adaptation and scalability in su...
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05/18/2021
Sparse Spiking Gradient Descent
There is an increasing interest in emulating Spiking Neural Networks (SN...
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03/16/2021
Learning to Shape Rewards using a Game of Switching Controls
Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
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03/14/2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Promoting behavioural diversity is critical for solving games with non-t...
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03/13/2021
