no code implementations • 11 Dec 2021 • Navid Rezazadeh, Maxwell Kolarich, Solmaz S. Kia, Negar Mehr
We then learn both the control policy and the contraction metric such that the distance between the trajectories from the offline data set and our generated auxiliary sample trajectories decreases over time.
1 code implementation • 7 Mar 2023 • Xiaoyu Ma, Negar Mehr
We train an RL policy that learns to regulate the headway of autonomous cars such that the total travel time in the network is minimized.
no code implementations • 17 Mar 2023 • Mark Beliaev, Negar Mehr, Ramtin Pedarsani
In this paper we study the pickup and delivery problem with multiple transportation modalities, and address the challenge of efficiently allocating transportation resources while price matching users with their desired delivery modes.
no code implementations • 30 Apr 2023 • Yixuan Jia, Maulik Bhatt, Negar Mehr
Namely, we show that our racing game is an instance of a constrained dynamic potential game.
no code implementations • 15 Aug 2023 • Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu
We formulate an inverse learning problem in a Stackelberg game between a leader and a follower, where each player's action is the trajectory of a dynamical system.
no code implementations • 6 Dec 2023 • Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
Optimal decision-making presents a significant challenge for autonomous systems operating in uncertain, stochastic and time-varying environments.