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Found 3 papers, 3 papers with code
ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze
MCTS-based algorithms, such as MuZero and its derivatives, have achieved widespread success in various decision-making domains.
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
To enhance the modeling of both global and local features, we have devised a convolution and attention fusion module aimed at capturing long-range dependencies and neighborhood spectral correlations.
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Building agents based on tree-search planning capabilities with learned models has achieved remarkable success in classic decision-making problems, such as Go and Atari.
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