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Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning
  for Multi-Agent Interactions

Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions

IEEE International Conference on Robotics and Automation (ICRA), 2023
8 March 2023
Zach Williams
Jushan Chen
Negar Mehr
ArXiv (abs)PDFHTML

Papers citing "Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions"

14 / 14 papers shown
Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version)
Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version)IEEE Transactions on Industrial Informatics (IEEE TII), 2025
Wenbin Mai
Minghui Liwang
Xinlei Yi
Xiaoyu Xia
Seyyedali Hosseinalipour
Xianbin Wang
63
0
0
15 Nov 2025
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Eduardo Sebastián
Maitrayee Keskar
Eeman Iqbal
Eduardo Montijano
C. Sagüés
Nikolay Atanasov
125
0
0
22 Sep 2025
Smooth Games of Configuration in the Linear-Quadratic Setting
Smooth Games of Configuration in the Linear-Quadratic Setting
Jesse Milzman
Jeffrey Mao
Giuseppe Loianno
151
0
0
22 Jul 2025
Learnable Spatial-Temporal Positional Encoding for Link Prediction
Katherine Tieu
Dongqi Fu
Zihao Li
Ross Maciejewski
Jingrui He
AI4TS
119
2
0
10 Jun 2025
Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
Jushan Chen
Santiago Paternain
422
0
0
14 Mar 2025
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
Maulik Bhatt
Iman Askari
Yue Yu
Ufuk Topcu
H. Fang
Negar Mehr
206
2
0
07 Oct 2024
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second InteractionsIEEE International Conference on Robotics and Automation (ICRA), 2024
Haimin Hu
Jonathan A. DeCastro
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
J. F. Fisac
301
7
0
14 Jun 2024
Integrating Predictive Motion Uncertainties with Distributionally Robust
  Risk-Aware Control for Safe Robot Navigation in Crowds
Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in CrowdsIEEE International Conference on Robotics and Automation (ICRA), 2024
Kanghyun Ryu
Negar Mehr
235
16
0
08 Mar 2024
Blending Data-Driven Priors in Dynamic Games
Blending Data-Driven Priors in Dynamic Games
Justin Lidard
Haimin Hu
Asher Hancock
Zixu Zhang
Albert Gimó Contreras
...
Deepak Gopinath
Guy Rosman
Naomi Ehrich Leonard
María Santos
J. F. Fisac
OffRL
305
7
0
21 Feb 2024
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and ControlConference on Robot Learning (CoRL), 2023
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
347
10
0
04 Dec 2023
Distributed Multi-agent Interaction Generation with Imagined Potential
  Games
Distributed Multi-agent Interaction Generation with Imagined Potential GamesAmerican Control Conference (ACC), 2023
Lingfeng Sun
Pin-Yun Hung
Changhao Wang
Masayoshi Tomizuka
Zhuo Xu
181
14
0
02 Oct 2023
On a Connection between Differential Games, Optimal Control, and
  Energy-based Models for Multi-Agent Interactions
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Torsten Bertram
AI4CE
375
5
0
31 Aug 2023
Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach
Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game ApproachIEEE Transactions on robotics (TRO), 2023
Maulik Bhatt
Negar Mehr
Negar Mehr
AI4CE
173
8
0
10 Aug 2023
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic
  Potential Games
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential GamesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Maulik Bhatt
Yixuan Jia
Negar Mehr
188
23
0
17 Jun 2022
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