activity
20232026
most citedSMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

3 citations · 9 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.AI2023

Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation

Laura Ferrarotti, Massimiliano Luca, Gabriele Santin +9

Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist wi…