Search Results for author: Negar Mehr

Found 6 papers, 1 papers with code

Learning Contraction Policies from Offline Data

no code implementations11 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.

Data Augmentation

Learning to Influence Vehicles' Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars

1 code implementation7 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.

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users

no code implementations17 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.

RAPID: Autonomous Multi-Agent Racing using Constrained Potential Dynamic Games

no code implementations30 Apr 2023 Yixuan Jia, Maulik Bhatt, Negar Mehr

Namely, we show that our racing game is an instance of a constrained dynamic potential game.

Active Inverse Learning in Stackelberg Trajectory Games

no code implementations15 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.

Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment

no code implementations6 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.

Decision Making

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