Search Results for author:
Found 2 papers, 0 papers with code
Proportional Aggregation of Preferences for Sequential Decision Making
In each round, a decision rule must choose a decision from a set of alternatives where each voter reports which of these alternatives they approve.
Informed Steiner Trees: Sampling and Pruning for Multi-Goal Path Finding in High Dimensions
We interleave sampling based motion planning methods with pruning ideas from minimum spanning tree algorithms to develop a new approach for solving a Multi-Goal Path Finding (MGPF) problem in high dimensional spaces.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
