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David Fridovich-Keil
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2020 – today
- 2024
- [j10]Jaehan Im
, Yue Yu
, David Fridovich-Keil
, Ufuk Topcu
:
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. IEEE Control. Syst. Lett. 8: 1637-1642 (2024) - [j9]Lasse Peters
, Andrea Bajcsy
, Chih-Yuan Chiu
, David Fridovich-Keil
, Forrest Laine
, Laura Ferranti
, Javier Alonso-Mora
:
Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. 9(3): 2208-2215 (2024) - [j8]Hamzah Khan
, David Fridovich-Keil
:
Leadership Inference for Multi-Agent Interactions. IEEE Robotics Autom. Lett. 9(5): 4671-4678 (2024) - [j7]Rishabh Saumil Thakkar
, Aryaman Singh Samyal
, David Fridovich-Keil
, Zhe Xu
, Ufuk Topcu
:
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. IEEE Trans. Intell. Veh. 9(5): 4845-4860 (2024) - [c33]Brett Barkley, Amy Zhang, David Fridovich-Keil:
An investigation of time reversal symmetry in reinforcement learning. L4DC 2024: 68-79 - [i53]Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games. CoRR abs/2401.15745 (2024) - [i52]Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil:
Auto-Encoding Bayesian Inverse Games. CoRR abs/2402.08902 (2024) - [i51]Jaehan Im, Yue Yu, David Fridovich-Keil, Ufuk Topcu:
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. CoRR abs/2403.10384 (2024) - [i50]Antonio Lopez, David Fridovich-Keil:
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning. CoRR abs/2403.12210 (2024) - [i49]Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil:
Smooth Information Gathering in Two-Player Noncooperative Games. CoRR abs/2404.00733 (2024) - [i48]Hamzah Khan, Adam J. Thorpe, David Fridovich-Keil:
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets. CoRR abs/2405.19292 (2024) - [i47]Kushagra Gupta, Xinjie Liu, Ufuk Topcu, David Fridovich-Keil:
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games. CoRR abs/2406.03565 (2024) - 2023
- [j6]Yue Yu
, Jonathan Salfity, David Fridovich-Keil
, Ufuk Topcu
:
Inverse Matrix Games With Unique Quantal Response Equilibrium. IEEE Control. Syst. Lett. 7: 643-648 (2023) - [j5]Lasse Peters
, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti
, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil:
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42(10): 917-937 (2023) - [j4]Forrest Laine
, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. 33(1): 294-318 (2023) - [c32]Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu:
Cost Design in Atomic Routing Games. ACC 2023: 1704-1709 - [c31]Patrick H. Washington, David Fridovich-Keil, Mac Schwager:
GrAVITree: Graph-based Approximate Value Function In a Tree. ACC 2023: 4611-4618 - [c30]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS 2023: 1062-1070 - [c29]Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu:
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. CDC 2023: 2202-2207 - [c28]Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka:
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control. CDC 2023: 3095-3101 - [c27]Jingqi Li, Chih-Yuan Chiu, Lasse Peters
, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC 2023: 8093-8099 - [c26]Tyler Westenbroek, Jacob Levy, David Fridovich-Keil:
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRL 2023: 2478-2497 - [c25]Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali:
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. ICRA 2023: 5566-5573 - [c24]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. ITSC 2023: 1721-1726 - [i46]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR abs/2301.01398 (2023) - [i45]Patrick H. Washington, David Fridovich-Keil, Mac Schwager:
GrAVITree: Graph-based Approximate Value Function In a Tree. CoRR abs/2301.07822 (2023) - [i44]Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss
, David Fridovich-Keil:
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR abs/2302.01999 (2023) - [i43]Tianyu Qiu, David Fridovich-Keil:
Identifying Occluded Agents in Dynamic Games with Noise-Corrupted Observations. CoRR abs/2303.09744 (2023) - [i42]Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu:
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. CoRR abs/2304.00163 (2023) - [i41]Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil:
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR abs/2304.01945 (2023) - [i40]Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora:
Contingency Games for Multi-Agent Interaction. CoRR abs/2304.05483 (2023) - [i39]Tyler Westenbroek, Jacob Levy, David Fridovich-Keil:
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRR abs/2307.08168 (2023) - [i38]Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu:
Active Inverse Learning in Stackelberg Trajectory Games. CoRR abs/2308.08017 (2023) - [i37]Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka:
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control. CoRR abs/2308.11546 (2023) - [i36]Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager:
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. CoRR abs/2309.07504 (2023) - [i35]Kushagra Gupta, David Fridovich-Keil:
Game-theoretic Occlusion-Aware Motion Planning: an Efficient Hybrid-Information Approach. CoRR abs/2309.10901 (2023) - [i34]Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, David Fridovich-Keil:
GPSINDy: Data-Driven Discovery of Equations of Motion. CoRR abs/2309.11076 (2023) - [i33]Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu:
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations. CoRR abs/2310.00468 (2023) - [i32]Hamzah Khan, David Fridovich-Keil:
Leadership Inference for Multi-Agent Interactions. CoRR abs/2310.18171 (2023) - [i31]Fernando Palafox, Yue Yu, David Fridovich-Keil:
Learning Hyperplanes for Multi-Agent Collision Avoidance in Space. CoRR abs/2311.09439 (2023) - [i30]Brett Barkley, Amy Zhang, David Fridovich-Keil:
An Investigation of Time Reversal Symmetry in Reinforcement Learning. CoRR abs/2311.17008 (2023) - 2022
- [c23]Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu:
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems. Allerton 2022: 1-8 - [c22]Chih-Yuan Chiu, David Fridovich-Keil:
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CDC 2022: 247-252 - [c21]Dennis R. Anthony, Duy Phuong Nguyen, David Fridovich-Keil, Jaime F. Fisac:
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. ICRA 2022: 6830-6836 - [c20]Jiankai Sun, Shreyas Kousik
, David Fridovich-Keil, Mac Schwager
:
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. ITSC 2022: 917-922 - [c19]Lasse Peters
, David Fridovich-Keil, Laura Ferranti
, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
:
Learning Mixed Strategies in Trajectory Games. Robotics: Science and Systems 2022 - [i29]Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Multi-Agent Autonomous Racing. CoRR abs/2202.12861 (2022) - [i28]Chih-Yuan Chiu, David Fridovich-Keil:
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CoRR abs/2203.16690 (2022) - [i27]Jiankai Sun, Shreyas Kousik
, David Fridovich-Keil, Mac Schwager:
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. CoRR abs/2204.06171 (2022) - [i26]Rishabh Saumil Thakkar, Aryaman Singh Samyal
, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. CoRR abs/2204.13070 (2022) - [i25]Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. CoRR abs/2205.00291 (2022) - [i24]Shenghui Chen, Yigit E. Bayiz
, David Fridovich-Keil, Yue Yu, Ufuk Topcu:
Relationship Design for Socially Desirable Behavior in Static Games. CoRR abs/2207.06392 (2022) - [i23]Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu:
Inverse Matrix Games with Unique Nash Equilibrium. CoRR abs/2207.08275 (2022) - [i22]Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu:
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems. CoRR abs/2209.04536 (2022) - [i21]Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali:
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. CoRR abs/2209.10802 (2022) - [i20]Yue Yu
, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu:
Cost Design in Atomic Routing Games. CoRR abs/2210.01221 (2022) - 2021
- [j3]Esther Rolf
, David Fridovich-Keil
, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
:
A Successive-Elimination Approach to Adaptive Robotic Source Seeking. IEEE Trans. Robotics 37(1): 34-47 (2021) - [c18]Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin:
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC 2021: 2982-2989 - [c17]Forrest Laine
, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA 2021: 8016-8023 - [c16]Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. ICRA 2021: 10749-10756 - [c15]David Fridovich-Keil, Claire J. Tomlin:
Approximate Solutions to a Class of Reachability Games. ICRA 2021: 12610-12617 - [c14]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss
:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems 2021 - [i19]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR abs/2101.02900 (2021) - [i18]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR abs/2106.03611 (2021) - [i17]Dennis R. Anthony, David Fridovich-Keil, Jaime F. Fisac:
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. CoRR abs/2109.07673 (2021) - 2020
- [j2]David Fridovich-Keil
, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin:
Confidence-aware motion prediction for real-time collision avoidance1. Int. J. Robotics Res. 39(2-3) (2020) - [j1]Roel Dobbe
, Oscar Sondermeijer
, David Fridovich-Keil, Daniel Arnold
, Duncan S. Callaway, Claire J. Tomlin
:
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning. IEEE Trans. Smart Grid 11(2): 1296-1306 (2020) - [c13]Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg:
Inference-Based Strategy Alignment for General-Sum Differential Games. AAMAS 2020: 1037-1045 - [c12]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CDC 2020: 118-125 - [c11]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Uncertain Systems via Reinforcement Learning. ICRA 2020: 1364-1371 - [c10]David Fridovich-Keil, Ellis Ratner, Lasse Peters
, Anca D. Dragan, Claire J. Tomlin:
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. ICRA 2020: 1475-1481 - [c9]David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. ICRA 2020: 2216-2222 - [i16]Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg:
Inference-Based Strategy Alignment for General-Sum Differential Games. CoRR abs/2002.04354 (2020) - [i15]Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry:
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning. CoRR abs/2004.02766 (2020) - [i14]David Fridovich-Keil, Claire J. Tomlin:
Approximate Solutions to a Class of Reachability Games. CoRR abs/2011.00601 (2020) - [i13]Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. CoRR abs/2011.04815 (2020) - [i12]Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. CoRR abs/2011.06047 (2020)
2010 – 2019
- 2019
- [c8]Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin:
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. ICRA 2019: 936-943 - [c7]David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin:
Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments. ICRA 2019: 7470-7476 - [c6]Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin:
A Classification-based Approach for Approximate Reachability. ICRA 2019: 7697-7704 - [i11]David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin:
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. CoRR abs/1909.04694 (2019) - [i10]David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. CoRR abs/1910.00681 (2019) - [i9]Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin:
Feedback Linearization for Unknown Systems via Reinforcement Learning. CoRR abs/1910.13272 (2019) - 2018
- [c5]David Fridovich-Keil, Sylvia L. Herbert, Jaime F. Fisac, Sampada Deglurkar, Claire J. Tomlin:
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning. ICRA 2018: 387-394 - [c4]Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan:
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. Robotics: Science and Systems 2018 - [i8]Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin:
Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking. CoRR abs/1803.03237 (2018) - [i7]Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan:
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions. CoRR abs/1806.00109 (2018) - [i6]Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin:
Data-Driven Decentralized Optimal Power Flow. CoRR abs/1806.06790 (2018) - [i5]Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin:
A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR abs/1809.10611 (2018) - [i4]Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin:
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. CoRR abs/1811.05929 (2018) - [i3]David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin:
Safe and Complete Real-Time Planning and Exploration in Unknown Environments. CoRR abs/1811.07834 (2018) - 2017
- [c3]David Fridovich-Keil, Nathan Hanford
, Margaret P. Chapman, Claire J. Tomlin, Matthew K. Farrens, Dipak Ghosal:
A model predictive control approach to flow pacing for TCP. Allerton 2017: 988-994 - [c2]David Fridovich-Keil, Erik Nelson, Avideh Zakhor:
AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction. ICRA 2017: 3110-3117 - [c1]Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin:
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach. NIPS 2017: 2941-2950 - [i2]Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin:
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach. CoRR abs/1707.06334 (2017) - [i1]David Fridovich-Keil, Sylvia L. Herbert, Jaime F. Fisac, Sampada Deglurkar, Claire J. Tomlin:
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning. CoRR abs/1710.04731 (2017)
Coauthor Index
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