3 zoekresultaten voor “monte carlo tree search” in de Publieke website
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Beter dan de benchmark: een doorbraak op de deadline
Data Science & AI-student Nataliia Bagan weet wiskunde, taal en kunstmatige intelligentie op een bijzondere manier te combineren. Haar bachelorscriptie over het verbeteren van het redeneervermogen van grote taalmodellen leverde haar een nominatie op voor de Leiden Science Young Talent Award 2025.