2019
Learning Robust Options by Conditional Value at Risk Optimization
NeurIPS 2019poster
Options are generally learned by using an inaccurate environment model (or simulator), which contains uncertain model parameters. While there are several methods to learn options that are robust against the uncertainty of model parameters, these methods only consider either the worst case or the av…