21 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 21 cited
A Bayesian Approach to Robust Reinforcement Learning
Esther Derman, Daniel Mankowitz, Timothy Mann +1
Robust Markov Decision Processes (RMDPs) intend to ensure robustness with respect to changing or adversarial system behavior. In this framework, transitions are modeled as arbitrar…
math.ST2017★ 2 cited
Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors
Esther Derman, Erwan Le Pennec
In this study, we consider unsupervised clustering of categorical vectors that can be of different size using mixture. We use likelihood maximization to estimate the parameters of…