Search Results for author:
Found 3 papers, 0 papers with code
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
As humans come to rely on autonomous systems more, ensuring the transparency of such systems is important to their continued adoption.
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems
In this paper, we present a framework that synthesizes maximally safe control policies for Jump Markov Linear Systems subject to stochastic mode switches.
Recursively-Constrained Partially Observable Markov Decision Processes
Evaluations on a set of benchmark problems demonstrate the efficacy of our algorithm and show that policies for RC-POMDPs produce more desirable behaviors than policies for C-POMDPs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
