most citedStarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 4 cited

StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search

Islam Elnabarawy, Kristijana Arroyo, Donald C. Wunsch

The real-time strategy game of StarCraft II has been posed as a challenge for reinforcement learning by Google's DeepMind. This study examines the use of an agent based on the Mont…