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Potential iLQR: A Potential-Minimizing Controller for Planning
  Multi-Agent Interactive Trajectories

Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories

10 July 2021
Talha Kavuncu
Ayberk Yaraneri
Negar Mehr
ArXivPDFHTML

Papers citing "Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories"

20 / 20 papers shown
Title
Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
Jushan Chen
Santiago Paternain
52
0
0
14 Mar 2025
Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty
Kai Ren
Giulio Salizzoni
Mustafa Emre Gürsoy
Maryam Kamgarpour
54
1
0
09 Mar 2025
Synergizing Decision Making and Trajectory Planning Using Two-Stage
  Optimization for Autonomous Vehicles
Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles
Wenru Liu
Haichao Liu
Lei Zheng
Zhenmin Huang
Jun Ma
83
0
0
28 Nov 2024
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
31
0
0
07 Oct 2024
Integrated Decision Making and Trajectory Planning for Autonomous
  Driving Under Multimodal Uncertainties: A Bayesian Game Approach
Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach
Zhenmin Huang
Tong Li
Shaojie Shen
Jun Ma
36
0
0
21 Sep 2024
A Sequential Quadratic Programming Approach to the Solution of Open-Loop
  Generalized Nash Equilibria for Autonomous Racing
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing
Edward L. Zhu
Francesco Borrelli
34
20
0
29 Mar 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 Crowds
Kanghyun Ryu
Negar Mehr
58
8
0
08 Mar 2024
Open-Loop and Feedback Nash Trajectories for Competitive Racing with
  iLQGames
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames
Matthias Rowold
Alexander Langmann
Boris Lohmann
Johannes Betz
34
2
0
02 Feb 2024
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
29
6
0
04 Dec 2023
Distributed Multi-agent Interaction Generation with Imagined Potential
  Games
Distributed Multi-agent Interaction Generation with Imagined Potential Games
Lingfeng Sun
Pin-Yun Hung
Changhao Wang
Masayoshi Tomizuka
Zhuo Xu
29
8
0
02 Oct 2023
A Preview of Open-Loop and Feedback Nash Trajectories in Racing
  Scenarios
A Preview of Open-Loop and Feedback Nash Trajectories in Racing Scenarios
Matthias Rowold
19
2
0
01 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
36
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 Approach
Maulik Bhatt
Negar Mehr
Negar Mehr
AI4CE
17
0
0
10 Aug 2023
Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning
  for Multi-Agent Interactions
Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions
Zach Williams
Jushan Chen
Negar Mehr
24
18
0
08 Mar 2023
Decentralized iLQR for Cooperative Trajectory Planning of Connected
  Autonomous Vehicles via Dual Consensus ADMM
Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Zhen Huang
Shaojie Shen
Jun Ma
24
28
0
11 Jan 2023
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in
  Urban Driving Games
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games
A. Zanardi
Pier Giuseppe Sessa
Nando Käslin
S. Bolognani
A. Censi
Emilio Frazzoli
25
1
0
24 Oct 2022
MPOGames: Efficient Multimodal Partially Observable Dynamic Games
MPOGames: Efficient Multimodal Partially Observable Dynamic Games
Oswin So
P. Drews
Thomas Balch
Velin D. Dimitrov
Guy Rosman
Evangelos A. Theodorou
49
9
0
19 Oct 2022
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic
  Potential Games
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential Games
Maulik Bhatt
Yixuan Jia
Negar Mehr
13
14
0
17 Jun 2022
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and
  Mapping in Multi-Agent Scenarios
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios
Chih-Yuan Chiu
David Fridovich-Keil
19
1
0
30 Mar 2022
Chance-Constrained Iterative Linear-Quadratic Stochastic Games
Chance-Constrained Iterative Linear-Quadratic Stochastic Games
Hai Zhong
Y. Shimizu
Jianyu Chen
26
5
0
02 Mar 2022
1