2 citations · 4 across the 4 of their papers we have counts for
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cs.LG2024★ 1 cited
Towards a More Complete Theory of Function Preserving Transforms
Michael Painter
In this paper, we develop novel techniques that can be used to alter the architecture of a neural network, while maintaining the function it represents. Such operations are known a…
cs.AI2024★ 2 cited
Monte Carlo Tree Search with Boltzmann Exploration
Michael Painter, Mohamed Baioumy, Nick Hawes +1
Monte-Carlo Tree Search (MCTS) methods, such as Upper Confidence Bound applied to Trees (UCT), are instrumental to automated planning techniques. However, UCT can be slow to explor…