CNN-LSTM autoencoder embeddings of low-level MicroRTS traces yield cluster separation of AI agents with higher AMI than handcrafted features.
Play-style Identification through Deep Unsupervised Clustering of Trajectories,
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Play Style Identification Using Low-Level Representations of Play Traces in MicroRTS
CNN-LSTM autoencoder embeddings of low-level MicroRTS traces yield cluster separation of AI agents with higher AMI than handcrafted features.