118 citations · 184 across the 10 of their papers we have counts for
4 papers · 1 filter
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
Marianne Defresne, Jayanta Mandi, Tias Guns
Real-life combinatorial optimization problems often involve several conflicting objectives, such as price, product quality and sustainability. A computationally-efficient way to ta…
Decision-Focused Learning to Predict Action Costs for Planning
Jayanta Mandi, Marco Foschini, Daniel Holler +3
In many automated planning applications, action costs can be hard to specify. An example is the time needed to travel through a certain road segment, which depends on many factors,…
Probability estimation and structured output prediction for learning preferences in last mile delivery
Rocsildes Canoy, Victor Bucarey, Yves Molenbruch +3
We study the problem of learning the preferences of drivers and planners in the context of last mile delivery. Given a data set containing historical decisions and delivery locatio…
Learn-n-Route: Learning implicit preferences for vehicle routing
Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi +1
We investigate a learning decision support system for vehicle routing, where the routing engine learns implicit preferences that human planners have when manually creating route pl…