Probabilistic controller synthesis for freeway traffic networks. - Negar Mehr; Dorsa Sadigh; Roberto Horowitz (ACC, 2016)

Optimal mode-switching and control synthesis for floating offshore wind turbines. - Behrooz Shahsavari; Omid Bagherieh; Negar Mehr; Roberto Horowitz; Claire J. Tomlin (ACC, 2016)

Inferring and assisting with constraints in shared autonomy. - Negar Mehr; Roberto Horowitz; Anca D. Dragan (CDC, 2016)

Stable hybrid Model Predictive Control for ramp metering. - Sarah Muraoka Koehler; Negar Mehr; Roberto Horowitz; Francesco Borrelli (ITSC, 2016)

Stochastic predictive freeway ramp metering from Signal Temporal Logic specifications. - Negar Mehr; Dorsa Sadigh; Roberto Horowitz; S. Shankar Sastry; Sanjit A. Seshia (ACC, 2017)

Low-complexity ramp metering for freeway congestion control via network utility maximization. - Negar Mehr; Roberto Horowitz; Ramtin Pedarsani (CDC, 2017)

Joint perimeter and signal control of urban traffic via network utility maximization. - Negar Mehr; Jennie Lioris; Roberto Horowitz; Ramtin Pedarsani (ITSC, 2017)

A Submodular Approach for Optimal Sensor Placement in Traffic Networks. - Negar Mehr; Roberto Horowitz (ACC, 2018)

Offset Selection for Bandwidth Maximization on Multiple Routes. - Negar Mehr; Marc Sanselme; Nitzan Orr; Roberto Horowitz; Gabriel B. Gomes (ACC, 2018)

Can the Presence of Autonomous Vehicles Worsen the Equilibrium State of Traffic Networks? - Negar Mehr; Roberto Horowitz (CDC, 2018)

A Game Theoretic Model for Aggregate Bypassing Behavior of Vehicles at Traffic Diverges. - Negar Mehr; Ruolin Li; Roberto Horowitz (ITSC, 2018)

Signal Control for Urban Traffic Networks with Unknown System Parameters. - Negar Mehr; Jennie Lioris; Roberto Horowitz; Ramtin Pedarsani (ITSC, 2018)

A Game Theoretic Macroscopic Model of Bypassing at Traffic Diverges with Applications to Mixed Autonomy Networks. - Negar Mehr; Ruolin Li; Roberto Horowitz (CoRR, 2018)

Pricing Traffic Networks with Mixed Vehicle Autonomy. - Negar Mehr; Roberto Horowitz (ACC, 2019)

An Extended Game-Theoretic Model for Aggregate Lane Choice Behavior of Vehicles at Traffic Diverges with a Bifurcating Lane. - Ruolin Li; Negar Mehr; Roberto Horowitz (ITSC, 2019)

The Impact of Autonomous Vehicles' Headway on the Social Delay of Traffic Networks. - Ruolin Li; Negar Mehr; Roberto Horowitz (CDC, 2020)

Game-Theoretic Planning for Risk-Aware Interactive Agents. - Mingyu Wang 002; Negar Mehr; Adrien Gaidon; Mac Schwager (IROS, 2020)

Platoon Formation Algorithm for Minimizing Travel Time. - Mikhail Burov; Negar Mehr; Stanley W. Smith; Alexander Kurzhanskiy; Murat Arcak (ITSC, 2020)

How Will the Presence of Autonomous Vehicles Affect the Equilibrium State of Traffic Networks? - Negar Mehr; Roberto Horowitz (IEEE Trans. Control. Netw. Syst., 2020)

Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories. - Talha Kavuncu; Ayberk Yaraneri; Negar Mehr (Robotics: Science and Systems, 2021)

Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis. - Fengjun Yang; Negar Mehr; Mac Schwager (CoRR, 2021)

Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions. - Negar Mehr; Mingyu Wang 002; Mac Schwager (CoRR, 2021)

RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch. - Haruki Nishimura; Negar Mehr; Adrien Gaidon; Mac Schwager (IEEE Robotics Autom. Lett., 2021)

Stackelberg Routing of Autonomous Cars in Mixed-Autonomy Traffic Networks. - Maxwell Kolarich; Negar Mehr (ACC, 2022)

Congestion-aware Bi-modal Delivery Systems Utilizing Drones. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (ECC, 2022)

Efficient Constrained Multi-Agent Interactive Planning using Constrained Dynamic Potential Games. - Maulik Bhatt; Ayberk Yaraneri; Negar Mehr (CoRR, 2022)

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. - Klara Nahrstedt; Naresh R. Shanbhag; Vikram S. Adve; Nancy M. Amato; Romit Roy Choudhury; Carl A. Gunter; Nam Sung Kim; Olgica Milenkovic; Sayan Mitra; Lav R. Varshney; Yurii Vlasov; Sarita V. Adve; et al. (CoRR, 2022)

Learning Contraction Policies From Offline Data. - Navid Rezazadeh; Maxwell Kolarich; Solmaz S. Kia; Negar Mehr (IEEE Robotics Autom. Lett., 2022)

RAPID: Autonomous Multi-Agent Racing using Constrained Potential Dynamic Games. - Yixuan Jia; Maulik Bhatt; Negar Mehr (ECC, 2023)

Learning to Influence Vehicles' Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars. - Xiaoyu Ma; Negar Mehr (ICRA, 2023)

Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions. - Zach Williams; Jushan Chen; Negar Mehr (ICRA, 2023)

Efficient Constrained Multi-Agent Trajectory Optimization Using Dynamic Potential Games. - Maulik Bhatt; Yixuan Jia; Negar Mehr (IROS, 2023)

Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. - Mark Beliaev; Negar Mehr; Ramtin Pedarsani (CoRR, 2023)

Strategic Decision-Making in Multi-Agent Domains: A Weighted Potential Dynamic Game Approach. - Maulik Bhatt; Negar Mehr (CoRR, 2023)

Active Inverse Learning in Stackelberg Trajectory Games. - Yue Yu 004; Jacob Levy; Negar Mehr; David Fridovich-Keil; Ufuk Topcu (CoRR, 2023)

Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach. - Kartik Nagpal; Negar Mehr (CoRR, 2023)

Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions. - Negar Mehr; Mingyu Wang 002; Maulik Bhatt; Mac Schwager (IEEE Trans. Robotics, 2023)

Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems. - Jean-Baptiste Bouvier; Kartik Nagpal; Negar Mehr (CDC, 2024)

Learning Differentiable and Safe Multi-Robot Control for Generalization to Novel Environments using Control Barrier Functions. - Vivek Sharma; Negar Mehr; Naira Hovakimyan (CDC, 2024)

Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment. - Gokul Puthumanaillam; Xiangyu Liu; Negar Mehr; Melkior Ornik (ICRA, 2024)

Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds. - Kanghyun Ryu; Negar Mehr (ICRA, 2024)

Optimal Robotic Assembly Sequence Planning (ORASP): A Sequential Decision-Making Approach. - Kartik Nagpal; Negar Mehr (IROS, 2024)

Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios. - Emma Clark; Kanghyun Ryu; Negar Mehr (L4DC, 2024)

POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints. - Jean-Baptiste Bouvier; Kartik Nagpal; Negar Mehr (Robotics: Science and Systems, 2024)

Towards Imitation Learning in Real World Unstructured Social Mini-Games in Pedestrian Crowds. - Rohan Chandra; Haresh Karnan; Negar Mehr; Peter Stone 001; Joydeep Biswas (CoRR, 2024)

To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? - Chih-Yuan Chiu; Jingqi Li; Maulik Bhatt; Negar Mehr (CoRR, 2024)

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models. - Kanghyun Ryu; Qiayuan Liao; Zhongyu Li 003; Koushil Sreenath; Negar Mehr (CoRR, 2024)

Distributed NeRF Learning for Collaborative Multi-Robot Perception. - Hongrui Zhao; Boris Ivanovic; Negar Mehr (CoRR, 2024)

Understanding and Imitating Human-Robot Motion with Restricted Visual Fields. - Maulik Bhatt; HongHao Zhen; Monroe Kennedy III; Negar Mehr (CoRR, 2024)

MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games. - Maulik Bhatt; Iman Askari; Yue Yu 004; Ufuk Topcu; Huazhen Fang; Negar Mehr (CoRR, 2024)

Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints. - Kanghyun Ryu; Jean-Baptiste Bouvier; Shazaib Lalani; Siegfried Eggl; Negar Mehr (CoRR, 2024)

To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? - Chih-Yuan Chiu; Jingqi Li 001; Maulik Bhatt; Negar Mehr (IEEE Control. Syst. Lett., 2024)

Active Inverse Learning in Stackelberg Trajectory Games. - William Ward; Yue Yu 004; Jacob Levy; Negar Mehr; David Fridovich-Keil; Ufuk Topcu (ACC, 2025)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment. - Kartik Nagpal; Dayi Dong; Negar Mehr (AAMAS, 2025)

Strategic Decision-Making in Multiagent Domains: A Weighted Constrained Potential Dynamic Game Approach. - Maulik Bhatt; Yixuan Jia; Negar Mehr (IEEE Trans. Robotics, 2025)

DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories. - Jean-Baptiste Bouvier; Kanghyun Ryu; Kartik Nagpal; Qiayuan Liao; Koushil Sreenath; Negar Mehr (CoRR, 2025)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment. - Kartik Nagpal; Dayi Dong; Jean-Baptiste Bouvier; Negar Mehr (CoRR, 2025)

RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping. - Hongrui Zhao; Boris Ivanovic; Negar Mehr (CoRR, 2025)