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2101.02900
Cited By
The Computation of Approximate Generalized Feedback Nash Equilibria
8 January 2021
F. Laine
David Fridovich-Keil
Chih-Yuan Chiu
Claire Tomlin
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Papers citing
"The Computation of Approximate Generalized Feedback Nash Equilibria"
31 / 31 papers shown
Title
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
Jason J. Choi
Jasmine Jerry Aloor
Jingqi Li
Maria G. Mendoza
H. Balakrishnan
Claire J. Tomlin
44
0
0
04 May 2025
PSN Game: Game-theoretic Planning via a Player Selection Network
Tianyu Qiu
Eric Ouano
Fernando Palafox
Christian Ellis
David Fridovich-Keil
73
0
0
30 Apr 2025
PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games
Seyed Yousef Soltanian
Wenlong Zhang
36
0
0
23 Apr 2025
Safe Interaction via Monte Carlo Linear-Quadratic Games
Benjamin A. Christie
Dylan P. Losey
44
0
0
08 Apr 2025
More Information is Not Always Better: Connections between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns
Kushagra Gupta
Ross Allen
David Fridovich-Keil
Ufuk Topcu
62
0
0
19 Mar 2025
Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty
Kai Ren
Giulio Salizzoni
Mustafa Emre Gürsoy
Maryam Kamgarpour
59
1
0
09 Mar 2025
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
36
0
0
07 Oct 2024
Tactical Game-theoretic Decision-making with Homotopy Class Constraints
M. Khayyat
Alessandro Zanardi
S. Arrigoni
Francesco Braghin
53
1
0
19 Jun 2024
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing
Edward L. Zhu
Francesco Borrelli
42
20
0
29 Mar 2024
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
50
5
0
21 Feb 2024
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
Haimin Hu
Gabriele Dragotto
Zixu Zhang
Kaiqu Liang
Bartolomeo Stellato
J. F. Fisac
37
3
0
14 Feb 2024
Auto-Encoding Bayesian Inverse Games
Xinjie Liu
Lasse Peters
Javier Alonso-Mora
Ufuk Topcu
David Fridovich-Keil
57
2
0
14 Feb 2024
Leadership Inference for Multi-Agent Interactions
Hamzah I. Khan
David Fridovich-Keil
51
6
0
27 Oct 2023
Distributed Multi-agent Interaction Generation with Imagined Potential Games
Lingfeng Sun
Pin-Yun Hung
Changhao Wang
Masayoshi Tomizuka
Zhuo Xu
34
8
0
02 Oct 2023
Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach
Maulik Bhatt
Negar Mehr
Negar Mehr
AI4CE
32
0
0
10 Aug 2023
Contingency Games for Multi-Agent Interaction
Lasse Peters
Andrea V. Bajcsy
Chih-Yuan Chiu
David Fridovich-Keil
F. Laine
L. Ferranti
Javier Alonso-Mora
AI4CE
55
22
0
11 Apr 2023
Inferring Occluded Agent Behavior in Dynamic Games from Noise Corrupted Observations
Tianyu Qiu
David Fridovich-Keil
34
3
0
17 Mar 2023
Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions
Zach Williams
Jushan Chen
Negar Mehr
37
18
0
08 Mar 2023
Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games
Lasse Peters
Vicencc Rubies-Royo
Claire Tomlin
L. Ferranti
Javier Alonso-Mora
C. Stachniss
David Fridovich-Keil
OffRL
61
12
0
03 Feb 2023
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories
Jingqi Li
Chih-Yuan Chiu
Lasse Peters
Somayeh Sojoudi
Claire Tomlin
David Fridovich-Keil
68
16
0
04 Jan 2023
Learning to Play Trajectory Games Against Opponents with Unknown Objectives
Xinjie Liu
Lasse Peters
Javier Alonso-Mora
44
28
0
24 Nov 2022
Robust Forecasting for Robotic Control: A Game-Theoretic Approach
Shubhankar Agarwal
David Fridovich-Keil
Sandeep Chinchali
AI4TS
43
3
0
22 Sep 2022
SLAM Backends with Objects in Motion: A Unifying Framework and Tutorial
Chih-Yuan Chiu
36
1
0
11 Jul 2022
Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential Games
Maulik Bhatt
Yixuan Jia
Negar Mehr
26
14
0
17 Jun 2022
Learning Mixed Strategies in Trajectory Games
Lasse Peters
David Fridovich-Keil
L. Ferranti
C. Stachniss
Javier Alonso-Mora
F. Laine
OffRL
47
6
0
30 Apr 2022
Chance-Constrained Iterative Linear-Quadratic Stochastic Games
Hai Zhong
Y. Shimizu
Jianyu Chen
34
5
0
02 Mar 2022
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games
Dennis Anthony
Duy P. Nguyen
David Fridovich-Keil
J. F. Fisac
26
3
0
16 Sep 2021
Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts
S. Bergerson
AI4CE
21
3
0
02 Sep 2021
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
Lasse Peters
David Fridovich-Keil
Vicencc Rubies-Royo
Claire Tomlin
C. Stachniss
37
32
0
07 Jun 2021
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
F. Laine
David Fridovich-Keil
Chih-Yuan Chiu
Claire Tomlin
34
26
0
11 Nov 2020
Encoding Defensive Driving as a Dynamic Nash Game
Chih-Yuan Chiu
David Fridovich-Keil
Claire Tomlin
29
9
0
09 Nov 2020
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