Towards a reinforcement learning de novo genome assembler.
Kleber Padovani de SouzaRoberto XavierAndré C. P. L. F. de CarvalhoAnna RealiAnnie ChateauRonnie AlvesPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- human genome
- genomic sequences
- sequence data
- genome wide
- function approximation
- machine learning
- dna sequences
- state space
- optimal policy
- multi agent
- model free
- policy search
- reinforcement learning algorithms
- robotic control
- tandem mass spectra
- evaluation function
- multi agent reinforcement learning
- learning algorithm
- data sets
- binding sites
- markov decision process
- dynamic programming
- temporal difference learning
- genome sequences
- motif finding