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Arta Seify

1 paper hereh-index 15 citations2 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.LG1

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most citedSingle-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 1 cited

Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search

Arta Seify, Michael Buro

The combination of Monte-Carlo Tree Search (MCTS) and deep reinforcement learning is state-of-the-art in two-player perfect-information games. In this paper, we describe a search a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.