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In this synchronous time model, there is no limited view gathering\r\nalgorithm known to perform better than in quadratic runtime. The configurations\r\nthat show the quadratic lower bound are closed chains. In this paper, we\r\npresent the first sub-quadratic---in fact linear time---gathering algorithm for\r\nclosed chains on a grid."}]},{"year":"2015","page":"1-11","citation":{"ieee":"T. Graf and M. Platzner, “Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning,” in <i>Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers</i>, 2015, pp. 1–11.","chicago":"Graf, Tobias, and Marco Platzner. “Adaptive Playouts in Monte-Carlo Tree Search with Policy-Gradient Reinforcement Learning.” In <i>Advances in Computer Games: 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers</i>, 1–11. 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