Skip to content

Opening book details…

Can I read Convolutional Monte Carlo Rollouts in Go on EtoBox?

Convolutional Monte Carlo Rollouts in Go by Jin, Peter H.; Keutzer, Kurt is a scholarly article available to read on EtoBox.

What is Convolutional Monte Carlo Rollouts in Go about?

In this work, we present a MCTS-based Go-playing program which uses convolutional networks in all parts. Our method performs MCTS in batches, explores the Monte Carlo search tree using Thompson sampling and a convolutional network, and evaluates convnet-based rollouts on the GPU. We achieve strong win rates against open source Go programs and attain competitive results against state of the art convolutional net-based Go-playing programs.

Author
Jin, Peter H.; Keutzer, Kurt
Published
2015
Language
EN

More by Jin, Peter H.; Keutzer, Kurt

Browse all works by Jin, Peter H.; Keutzer, Kurt