68 citations · 170 across the 10 of their papers we have counts for
5 papers · 1 filter
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent, Jean Mercat
We study the design of learning architectures for behavioural planning in a dense traffic setting. Such architectures should deal with a varying number of nearby vehicles, be invar…
Practical Open-Loop Optimistic Planning
Edouard Leurent, Odalric-Ambrym Maillard
We consider the problem of online planning in a Markov Decision Process when given only access to a generative model, restricted to open-loop policies - i.e. sequences of actions -…
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties
Edouard Leurent, Denis Efimov, Tarek Raïssi +1
The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework. It is assumed that the system is subject to uncertain inputs and t…
Budgeted Reinforcement Learning in Continuous State Space
Nicolas Carrara, Edouard Leurent, Romain Laroche +3
A Budgeted Markov Decision Process (BMDP) is an extension of a Markov Decision Process to critical applications requiring safety constraints. It relies on a notion of risk implemen…
Approximate Robust Control of Uncertain Dynamical Systems
Edouard Leurent, Yann Blanco, Denis Efimov +1
This work studies the design of safe control policies for large-scale non-linear systems operating in uncertain environments. In such a case, the robust control framework is a prin…