Convex Hull Monte-Carlo Tree Search

9 Mar 2020Michael PainterBruno LacerdaNick Hawes

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-objective planning in large environments... (read more)

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