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Week 3
Joachim Vanneste edited this page Oct 13, 2023
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1 revision
12/10/2023
- Literature review work
- Greedy epsilon algorithm implemented for choosing actions
- Scoring (SP score) and action functions implemented
- How is deep learning RL loss calculated and back-propagated (still not working properly)
- Huber loss ?
- Discussion on catalytic sites and how only ~20% of a sequence needs to stay the same
- Scoring networks - do they take dependence into account
- Looked into substitution model of evolution to generate better sequences
- Finish RL agent
- Look into models of DNA evolution for better sequence generation
- Finish MSA literature review section