Distributed Monte Carlo Tree Search With Applications To Chip Design
Monte Carlo Tree Search is a classic method in AI that builds up a search tree asymmetrically using random rollouts on a game tree. The work detailed in this thesis expands upon traditional implementations by allowing the capability of fully distributing each node onto different physical machines wh...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151671 |