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rl_bci's Introduction

Wonjun Ko, Ph.D.

Data has its own characteristic.

I received the Ph.D. degree in Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea and the B.S. degree in Department of Physics, Sogang University, Seoul, Republic of Korea. I am studying and developing biomedical data-oriented deep representation learning frameworks (biosignal processing, neuroimaging analysis, and biomedical data mining) and algorithms (supervised, self-supervised, semi-supervised, unsupervised, and reinforcement learning) for various modalities (image, signal, graph, and tabular formats).

Thesis

Dissertation

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Python C

TensorFlow NumPy SciPy scikit-learn Pandas

Jupyter Notebook PyCharm

Notion Raspberry Pi Arduino Microsoft Office Markdown

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rl_bci's Issues

Problems with the training process

Hi author, I replaced the dataset with BCIIV-2a dataset for training, which is a four-classified motor imagery dataset, and the following problems occurred during the training of the reinforcement learning network: (1) the training would get stuck at the 11th round and would not jump to subsequent rounds; and (2) the training time was very long. Could you please analyze the causes of these problems, as well as let me know if you need to modify some parameters in the code? Thank you!

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