271 citations · 426 across the 17 of their papers we have counts for
8 papers · 1 filter
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique, Paul Weng, Matthieu Zimmer
As the operations of autonomous systems generally affect simultaneously several users, it is crucial that their designs account for fairness considerations. In contrast to standard…
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +2
Deep reinforcement learning (DRL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. We…
From Preference-Based to Multiobjective Sequential Decision-Making
Paul Weng
In this paper, we present a link between preference-based and multiobjective sequential decision-making. While transforming a multiobjective problem to a preference-based one is qu…
Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs
Dajian Li, Paul Weng, Orkun Karabasoglu
In this paper, we tackle the problem of risk-averse route planning in a transportation network with time-dependent and stochastic costs. To solve this problem, we propose an adapta…
Optimizing Quantiles in Preference-based Markov Decision Processes
Hugo Gilbert, Paul Weng, Yan Xu
In the Markov decision process model, policies are usually evaluated by expected cumulative rewards. As this decision criterion is not always suitable, we propose in this paper an…
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes
Patrice Perny, Paul Weng, Judy Goldsmith +1
This paper is devoted to fair optimization in Multiobjective Markov Decision Processes (MOMDPs). A MOMDP is an extension of the MDP model for planning under uncertainty while tryin…
Qualitative Decision Making Under Possibilistic Uncertainty: Toward more discriminating criteria
Paul Weng
The aim of this paper is to propose a generalization of previous approaches in qualitative decision making. Our work is based on the binary possibilistic utility (PU), which is a p…
Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility
Paul Weng
Expected Utility: Algebraic Expected Utility In this paper, we provide two axiomatizations of algebraic expected utility, which is a particular generalized expected utility, in a v…