3 search results for “monte carlo tree search” in the Public 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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‘A last-minute challenge became my biggest breakthrough’
Data Science & AI student Nataliia Bagan combines a passion for mathematics, language, and artificial intelligence. Her exceptional bachelor’s thesis on improving reasoning in large language models earned her a nomination for the Leiden Science Young Talent Award 2025.