Non-Linear Monte-Carlo Search in Civilization II
This paper presents a new Monte-Carlo search algorithm for very large sequential decision-making problems. Our approach builds on the recent success of Monte-Carlo tree search algorithms, which estimate the value of states and actions from the mean outcome of random simulations. Instead of using a s...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
AAAI Press/International Joint Conferences on Artificial Intelligence
2012
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| Online Access: | http://hdl.handle.net/1721.1/74248 https://orcid.org/0000-0002-2921-8201 |