33 citations · 101 across the 19 of their papers we have counts for
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cs.LG2023★ 2 cited
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli +2
Reinforcement learning (RL) algorithms have proven transformative in a range of domains. To tackle real-world domains, these systems often use neural networks to learn policies dir…
cs.LG2023★ 1 cited
Optimal transfer protocol by incremental layer defrosting
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli +2
Transfer learning is a powerful tool enabling model training with limited amounts of data. This technique is particularly useful in real-world problems where data availability is o…