Towards a reinforcement learning de novo genome assembler.

Kleber Padovani de Souza Roberto Xavier André C. P. L. F. de Carvalho Anna Reali Annie Chateau Ronnie Alves

Published 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