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05/18/2022
Terrain Analysis in StarCraft 1 and 2 as Combinatorial Optimization
Terrain analysis in Real-Time Strategy games is a necessary step to allo...
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05/22/2020
microPhantom: Playing microRTS under uncertainty and chaos
This competition paper presents microPhantom, a bot playing to microRTS ...
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02/23/2020
Automatic Cost Function Learning with Interpretable Compositional Networks
Cost Function Networks (CFN) are a formalism in Constraint Programming t...
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01/15/2019
Comparing two deep learning sequence-based models for protein-protein interaction prediction
Biological data are extremely diverse, complex but also quite sparse. Th...
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01/03/2019
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games
Decision-making problems can be modeled as combinatorial optimization pr...
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11/01/2016
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
We present TorchCraft, a library that enables deep learning research on ...
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12/18/2012