Verifiably safe exploration for end-to-end reinforcement learning
Deploying deep reinforcement learning in safety-critical settings requires developing
algorithms that obey hard constraints during exploration. This paper contributes a first …
algorithms that obey hard constraints during exploration. This paper contributes a first …
Reinbo: Machine learning pipeline search and configuration with bayesian optimization embedded reinforcement learning
Machine learning pipeline potentially consists of several stages of operations like data
preprocessing, feature engineering and machine learning model training. Each operation …
preprocessing, feature engineering and machine learning model training. Each operation …
ReinBo: Machine learning pipeline conditional hierarchy search and configuration with Bayesian optimization embedded reinforcement learning
Abstract Machine learning pipeline potentially consists of several stages of operations like
data preprocessing, feature engineering and machine learning model training. Each …
data preprocessing, feature engineering and machine learning model training. Each …
[PDF][PDF] Predictive Analytics for Dynamic Pricing in Travel Bookings Using Machine Learning Pipelines
A Mantri - researchgate.net
Dynamic pricing, also referred to as surge pricing or time-based pricing, is a strategy where
businesses adjust product or service prices based on real-time market demand. This …
businesses adjust product or service prices based on real-time market demand. This …
[PDF][PDF] Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline …
X Sun - 2021 - d-nb.info
A machine learning system, including when used in reinforcement learning, is usually fed
with only limited data, while aimed at training a model with good predictive performance that …
with only limited data, while aimed at training a model with good predictive performance that …
Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning
X Sun - 2021 - edoc.ub.uni-muenchen.de
A machine learning system, including when used in reinforcement learning, is usually fed
with only limited data, while aimed at training a model with good predictive performance that …
with only limited data, while aimed at training a model with good predictive performance that …