Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization.
Hui YuanChengzhuo NiHuazheng WangXuezhou ZhangLe CongCsaba SzepesváriMengdi WangPublished in: CoRR (2022)
Keyphrases
- random sampling
- theoretical framework
- optimization problems
- theoretical basis
- case study
- monte carlo
- machine learning
- global optimization
- e learning
- sample size
- optimization algorithm
- markov chain
- bayesian networks
- optimization methods
- optimization process
- data sets
- optimization model
- sampling algorithm
- sampling strategy
- natural selection
- adaptive sampling