David Fridovich-Keil

According to our database, David Fridovich-Keil authored at least 75 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing.

Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu

IEEE Trans. Intell. Veh., May, 2024

Leadership Inference for Multi-Agent Interactions.

Hamzah Khan, David Fridovich-Keil

IEEE Robotics Autom. Lett., May, 2024

Contingency Games for Multi-Agent Interaction.

Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora

IEEE Robotics Autom. Lett., 2024

Hierarchical Control for Head-to-Head Autonomous Racing.

Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu

Field Robotics, 2024

Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria.

Jaehan Im, Yue Yu, David Fridovich-Keil, Ufuk Topcu

IEEE Control. Syst. Lett., 2024

You Can't Always Get What You Want : Games of Ordered Preference.

Dong Ho Lee, Lasse Peters, David Fridovich-Keil

CoRR, 2024

Improving DeFi Mechanisms with Dynamic Games and Optimal Control: A Case Study in Stablecoins.

Nicholas Strohmeyer, Sriram Vishwanath, David Fridovich-Keil

CoRR, 2024

Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.

Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu

CoRR, 2024

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models.

Jacob Levy, Tyler Westenbroek, David Fridovich-Keil

CoRR, 2024

Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions.

Isaac Remy, David Fridovich-Keil, Karen Leung

CoRR, 2024

Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games.

Kushagra Gupta, Xinjie Liu, Ufuk Topcu, David Fridovich-Keil

CoRR, 2024

Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets.

Hamzah Khan, Adam J. Thorpe, David Fridovich-Keil

CoRR, 2024

Smooth Information Gathering in Two-Player Noncooperative Games.

Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil

CoRR, 2024

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning.

Antonio Lopez, David Fridovich-Keil

CoRR, 2024

Auto-Encoding Bayesian Inverse Games.

Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil

CoRR, 2024

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.

Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil

CoRR, 2024

An investigation of time reversal symmetry in reinforcement learning.

Brett Barkley, Amy Zhang, David Fridovich-Keil

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations.

Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu

Proceedings of the American Control Conference, 2024

2023

Online and offline learning of player objectives from partial observations in dynamic games.

Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil

Int. J. Robotics Res., September, 2023

The Computation of Approximate Generalized Feedback Nash Equilibria.

Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin

SIAM J. Optim., March, 2023

Inverse Matrix Games With Unique Quantal Response Equilibrium.

Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu

IEEE Control. Syst. Lett., 2023

Learning Hyperplanes for Multi-Agent Collision Avoidance in Space.

Fernando Palafox, Yue Yu, David Fridovich-Keil

CoRR, 2023

GPSINDy: Data-Driven Discovery of Equations of Motion.

Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, David Fridovich-Keil

CoRR, 2023

Game-theoretic Occlusion-Aware Motion Planning: an Efficient Hybrid-Information Approach.

Kushagra Gupta, David Fridovich-Keil

CoRR, 2023

Active Inverse Learning in Stackelberg Trajectory Games.

Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu

CoRR, 2023

Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models.

Tyler Westenbroek, Jacob Levy, David Fridovich-Keil

CoRR, 2023

Identifying Occluded Agents in Dynamic Games with Noise-Corrupted Observations.

Tianyu Qiu, David Fridovich-Keil

CoRR, 2023

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.

Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil

CoRR, 2023

Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure.

Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Robust Forecasting for Robotic Control: A Game-Theoretic Approach.

Shubhankar Agarwal, David Fridovich-Keil, Sandeep P. Chinchali

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models.

Tyler Westenbroek, Jacob Levy, David Fridovich-Keil

Proceedings of the Conference on Robot Learning, 2023

Risk-Minimizing Two-Player Zero-Sum Stochastic Differential Game via Path Integral Control.

Apurva Patil, Yujing Zhou, David Fridovich-Keil, Takashi Tanaka

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.

Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning.

Shenghui Chen, Yue Yu, David Fridovich-Keil, Ufuk Topcu

Proceedings of the 62nd IEEE Conference on Decision and Control, 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 J. Tomlin, David Fridovich-Keil

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

GrAVITree: Graph-based Approximate Value Function In a Tree.

Patrick H. Washington, David Fridovich-Keil, Mac Schwager

Proceedings of the American Control Conference, 2023

Cost Design in Atomic Routing Games.

Yue Yu, Shenghui Chen, David Fridovich-Keil, Ufuk Topcu

Proceedings of the American Control Conference, 2023

2022

Inverse Matrix Games with Unique Nash Equilibrium.

Yue Yu, Jonathan Salfity, David Fridovich-Keil, Ufuk Topcu

CoRR, 2022

Relationship Design for Socially Desirable Behavior in Static Games.

Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil, Yue Yu, Ufuk Topcu

CoRR, 2022

Hierarchical Control for Multi-Agent Autonomous Racing.

Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu

CoRR, 2022

Learning Mixed Strategies in Trajectory Games.

Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities.

Jiankai Sun, Shreyas Kousik, David Fridovich-Keil, Mac Schwager

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.

Dennis R. Anthony, Duy Phuong Nguyen, David Fridovich-Keil, Jaime F. Fisac

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios.

Chih-Yuan Chiu, David Fridovich-Keil

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems.

Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

A Successive-Elimination Approach to Adaptive Robotic Source Seeking.

Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin

IEEE Trans. Robotics, 2021

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games.

Dennis R. Anthony, David Fridovich-Keil, Jaime F. Fisac

CoRR, 2021

Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.

Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Multi-Hypothesis Interactions in Game-Theoretic Motion Planning.

Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Approximate Solutions to a Class of Reachability Games.

David Fridovich-Keil, Claire J. Tomlin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Encoding Defensive Driving as a Dynamic Nash Game.

Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.

Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Practical Algorithms for Reliable Autonomy

David Fridovich-Keil

PhD thesis, 2020

Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.

Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin

IEEE Trans. Smart Grid, 2020

Confidence-aware motion prediction for real-time collision avoidance¹.

David Fridovich-Keil, Andrea Bajcsy, Jaime F. Fisac, Sylvia L. Herbert, Steven Wang, Anca D. Dragan, Claire J. Tomlin

Int. J. Robotics Res., 2020

Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.

Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry

CoRR, 2020

Feedback Linearization for Uncertain Systems via Reinforcement Learning.

Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics.

David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.

David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning.

Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil, Valmik Prabhu, Claire J. Tomlin, S. Shankar Sastry

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Inference-Based Strategy Alignment for General-Sum Differential Games.

Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Feedback Linearization for Unknown Systems via Reinforcement Learning.

Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar, Shreyas Arora, Valmik Prabhu, S. Shankar Sastry, Claire J. Tomlin

CoRR, 2019

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.

David Fridovich-Keil, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin

CoRR, 2019

A Classification-based Approach for Approximate Reachability.

Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin

Proceedings of the International Conference on Robotics and Automation, 2019

Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments.

David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin

Proceedings of the International Conference on Robotics and Automation, 2019

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.

Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Jaime F. Fisac, Sampada Deglurkar, Anca D. Dragan, Claire J. Tomlin

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Safe and Complete Real-Time Planning and Exploration in Unknown Environments.

David Fridovich-Keil, Jaime F. Fisac, Claire J. Tomlin

CoRR, 2018

A Successive-Elimination Approach to Adaptive Robotic Sensing.

Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin

CoRR, 2018

Data-Driven Decentralized Optimal Power Flow.

Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil, Daniel Arnold, Duncan S. Callaway, Claire J. Tomlin

CoRR, 2018

Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking.

Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin

CoRR, 2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.

Jaime F. Fisac, Andrea Bajcsy, Sylvia L. Herbert, David Fridovich-Keil, Steven Wang, Claire J. Tomlin, Anca D. Dragan

Proceedings of the Robotics: Science and Systems XIV, 2018

Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning.

David Fridovich-Keil, Sylvia L. Herbert, Jaime F. Fisac, Sampada Deglurkar, Claire J. Tomlin

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.

Roel Dobbe, David Fridovich-Keil, Claire J. Tomlin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

AtomMap: A probabilistic amorphous 3D map representation for robotics and surface reconstruction.

David Fridovich-Keil, Erik Nelson, Avideh Zakhor

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

A model predictive control approach to flow pacing for TCP.

David Fridovich-Keil, Nathan Hanford, Margaret P. Chapman, Claire J. Tomlin, Matthew K. Farrens, Dipak Ghosal

Proceedings of the 55th Annual Allerton Conference on Communication, 2017