Unsupervised Hebbian Learning on Point Sets in StarCraft II
Author:
Affiliation:
1. School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,GA,USA
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892259.pdf?arnumber=9892259
Reference16 articles.
1. HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning
2. Multi-layer hebbian networks with modern deep learning frameworks;miconi;ArXiv Preprint,2021
3. Modeling response properties of V2 neurons using a hierarchical K-means model
4. Pointnet: Deep learning on point sets for 3d classification and segmentation;qi;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition IEEE,0
5. Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
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1. Structured Latent Space for Lightweight Prediction in Locally Interacting Discrete Dynamical Systems;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Forecasting Evolution of Clusters in Game Agents with Hebbian Learning;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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