David Fridovich-Keil

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 96

Top Topics

Cooperative Game

Adaptive Control

Reinforcement Learning

Nash Equilibria

Top Venues

Robotics: Science and Systems

Publications

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) (2024)
Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil
Smooth Information Gathering in Two-Player Noncooperative Games. CoRR (2024)
Antonio Lopez, David Fridovich-Keil
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning. CoRR (2024)
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 (2024)
Hamzah Khan, Adam Thorpe, David Fridovich-Keil
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets. CoRR (2024)
Brett Barkley, Amy Zhang, David Fridovich-Keil
An investigation of time reversal symmetry in reinforcement learning. L4DC (2024)
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 (2024)
Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil
Auto-Encoding Bayesian Inverse Games. CoRR (2024)
Jaehan Im, Yue Yu, David Fridovich-Keil, Ufuk Topcu
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. CoRR (2024)
Kushagra Gupta, Xinjie Liu, Ufuk Topcu, David Fridovich-Keil
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games. CoRR (2024)
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) (2024)
Hamzah Khan, David Fridovich-Keil
Leadership Inference for Multi-Agent Interactions. IEEE Robotics Autom. Lett. 9 (5) (2024)
Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu
Cost Design in Atomic Routing Games. ACC (2023)
Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu
Active Inverse Learning in Stackelberg Trajectory Games. CoRR (2023)
Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. CoRR (2023)
Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. ICRA (2023)
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRR (2023)
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 (2023)
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. CoRR (2023)
Junette Hsin, Shubhankar Agarwal, Adam Thorpe, David Fridovich-Keil
GPSINDy: Data-Driven Discovery of Equations of Motion. CoRR (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa 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)
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)
Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations. CoRR (2023)
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models. CoRL (2023)
Patrick H. Washington, David Fridovich-Keil, Mac Schwager
GrAVITree: Graph-based Approximate Value Function In a Tree. CoRR (2023)
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure. ITSC (2023)
Hamzah Khan, David Fridovich-Keil
Leadership Inference for Multi-Agent Interactions. CoRR (2023)
Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control. CDC (2023)
Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka
Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control. CoRR (2023)
Kushagra Gupta, David Fridovich-Keil
Game-theoretic Occlusion-Aware Motion Planning: an Efficient Hybrid-Information Approach. CoRR (2023)
Fernando Palafox, Yue Yu, David Fridovich-Keil
Learning Hyperplanes for Multi-Agent Collision Avoidance in Space. CoRR (2023)
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 (2023)
Lasse Peters, Vicenç Rúbies 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) (2023)
Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning. CDC (2023)
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
Contingency Games for Multi-Agent Interaction. CoRR (2023)
Lasse Peters, Vicenç Rúbies 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 (2023)
Tianyu Qiu, David Fridovich-Keil
Identifying Occluded Agents in Dynamic Games with Noise-Corrupted Observations. CoRR (2023)
Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu
Inverse Matrix Games With Unique Quantal Response Equilibrium. IEEE Control. Syst. Lett. 7 (2023)
Brett Barkley, Amy Zhang, David Fridovich-Keil
An Investigation of Time Reversal Symmetry in Reinforcement Learning. CoRR (2023)
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
The Computation of Approximate Generalized Feedback Nash Equilibria. SIAM J. Optim. 33 (1) (2023)
Patrick H. Washington, David Fridovich-Keil, Mac Schwager
GrAVITree: Graph-based Approximate Value Function In a Tree. ACC (2023)
Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali
Robust Forecasting for Robotic Control: A Game-Theoretic Approach. CoRR (2022)
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
Learning Mixed Strategies in Trajectory Games. CoRR (2022)
Chih-Yuan Chiu, David Fridovich-Keil
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CoRR (2022)
Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu
Cost Design in Atomic Routing Games. CoRR (2022)
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. CoRR (2022)
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. ITSC (2022)
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu
Hierarchical Control for Multi-Agent Autonomous Racing. CoRR (2022)
Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. CoRR (2022)
Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems. CoRR (2022)
Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu
Inverse Matrix Games with Unique Nash Equilibrium. CoRR (2022)
Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu
Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems. Allerton (2022)
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)
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)
Chih-Yuan Chiu, David Fridovich-Keil
GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios. CDC (2022)
Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil, Yue Yu, Ufuk Topcu
Relationship Design for Socially Desirable Behavior in Static Games. CoRR (2022)
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
The Computation of Approximate Generalized Feedback Nash Equilibria. CoRR (2021)
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) (2021)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR (2021)
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. CDC (2021)
Dennis R. Anthony, David Fridovich-Keil, Jaime F. Fisac
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. CoRR (2021)
David Fridovich-Keil, Claire J. Tomlin
Approximate Solutions to a Class of Reachability Games. ICRA (2021)
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. ICRA (2021)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems (2021)
Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
Encoding Defensive Driving as a Dynamic Nash Game. ICRA (2021)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. CoRR (2020)
David Fridovich-Keil, Claire J. Tomlin
Approximate Solutions to a Class of Reachability Games. CoRR (2020)
David Fridovich-Keil, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin
. Int. J. Robotics Res. 39 (2-3) (2020)
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) (2020)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. AAMAS (2020)
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)
Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin
Encoding Defensive Driving as a Dynamic Nash Game. CoRR (2020)
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)
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)
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. CoRR (2020)
David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. ICRA (2020)
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 (2020)
Vicenç Rúbies Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
A Classification-based Approach for Approximate Reachability. ICRA (2019)
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 (2019)
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)
David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin
Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments. ICRA (2019)
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 (2019)
David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. CoRR (2019)
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR (2018)
Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin
Data-Driven Decentralized Optimal Power Flow. CoRR (2018)
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 (2018)
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)
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)
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 (2018)
David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin
Safe and Complete Real-Time Planning and Exploration in Unknown Environments. CoRR (2018)
Vicenç Rúbies Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking. CoRR (2018)
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 (2017)
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)
Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach. NIPS (2017)
Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach. CoRR (2017)
David Fridovich-Keil, Erik Nelson, Avideh Zakhor
AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction. ICRA (2017)