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Experiments That You Can Measure

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Preview of Mitigating Catastrophic Forgetting in Reinforcement Learning
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Mitigating Catastrophic Forgetting in Reinforcement Learning (1802.07239.pdf)

2.49 MBChristos Kaplanis, Murray Shanahan, Claudia ClopathEN 14 pages
We show that a synaptic model with biological complexity can mitigate this issue at multiple timescales

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learning catastrophic forgetting mitigating reinforcement humans artificial neural networks suffer erases acquired knowledge synaptic model biological complexity mitigate issue multiple timescales enables continual sequential training tasks

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