Convex Hull Monte-Carlo tree search
This work investigates Monte-Carlo planning for agents in stochastic environments, with multiple objectives. We propose the Convex Hull Monte-Carlo Tree-Search (CHMCTS) framework, which builds upon Trial Based Heuristic Tree Search and Convex Hull Value Iteration (CHVI), as a solution to multi-objec...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
AAAI Press
2020
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