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StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning environment based on the StarCraft II game. Expand
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
AlphaStar uses a multi-agent reinforcement learning algorithm and has reached Grandmaster level, ranking among the top 0.2% of human players for the real-time StarCraft II. Expand
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OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games, as well as traditional multiagent environments such as grid worlds and social dilemmas. Expand
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Playing and Solving Havannah
Havannah is a recent game that is interesting from an AI research perspective. Expand
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Guidelines for quantitative reconstruction of complex exit waves in HRTEM
Abstract We have used a simple analytic model of iterative wave reconstruction from HRTEM focal series to derive reconstruction guidelines. We find that the reconstruction must be padded and thatExpand
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The role of self-shadowing on growth and scaling laws of faceted polycrystalline thin films
We investigate, via both experiment and simulation, the effects of self-shadowing on the growth of faceted polycrystalline thin films. Faceted aluminum thin films were sputtered and the anomalousExpand
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