Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space.
Minji LeeLuiz Felipe VecchiettiHyunkyu JungHyun Joo RoMeeyoung ChaHo Min KimPublished in: CoRR (2024)
Keyphrases
- robust optimization
- latent space
- reinforcement learning
- transfer learning
- latent variables
- low dimensional
- gaussian process
- mathematical programming
- lower dimensional
- dimensionality reduction
- parameter space
- generative model
- gaussian processes
- matrix factorization
- genetic algorithm
- evolutionary algorithm
- manifold learning
- high dimensional
- feature space
- state space
- distance metric
- learning tasks
- semidefinite programming
- probabilistic latent semantic analysis
- high dimensional data
- optimal policy
- model selection
- feature selection
- lot sizing
- active learning
- dynamic programming
- probabilistic model
- decision theory
- objective function
- machine learning algorithms
- support vector machine
- text classification
- data sets