Search Results for author: Michael Painter

Found 2 papers, 1 papers with code

Monte Carlo Tree Search with Boltzmann Exploration

2 code implementations NeurIPS 2023 Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda

Monte-Carlo Tree Search (MCTS) methods, such as Upper Confidence Bound applied to Trees (UCT), are instrumental to automated planning techniques.

Game of Go

Convex Hull Monte-Carlo Tree Search

no code implementations9 Mar 2020 Michael Painter, Bruno Lacerda, Nick Hawes

This work investigates Monte-Carlo planning for agents in stochastic environments, with multiple objectives.

Multi-Armed Bandits

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