David Fridovich-Keil

Orcid: 0000-0002-5866-6441

According to our database¹, David Fridovich-Keil authored at least 70 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing.

[BibT_eX]

[DOI]

Rishabh Saumil Thakkar

IEEE Trans. Intell. Veh., May, 2024

Leadership Inference for Multi-Agent Interactions.

[BibT_eX]

[DOI]

Hamzah Khan

David Fridovich-Keil

IEEE Robotics Autom. Lett., May, 2024

Contingency Games for Multi-Agent Interaction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

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

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

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

[BibT_eX]

[DOI]

Isaac Remy

David Fridovich-Keil

Karen Leung

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Hamzah Khan

Adam J. Thorpe

David Fridovich-Keil

CoRR, 2024

Smooth Information Gathering in Two-Player Noncooperative Games.

[BibT_eX]

[DOI]

CoRR, 2024

Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Antonio Lopez

David Fridovich-Keil

CoRR, 2024

Auto-Encoding Bayesian Inverse Games.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

An investigation of time reversal symmetry in reinforcement learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., September, 2023

The Computation of Approximate Generalized Feedback Nash Equilibria.

[BibT_eX]

[DOI]

SIAM J. Optim., March, 2023

Inverse Matrix Games With Unique Quantal Response Equilibrium.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Learning Hyperplanes for Multi-Agent Collision Avoidance in Space.

[BibT_eX]

[DOI]

Fernando Palafox

Yue Yu

David Fridovich-Keil

CoRR, 2023

GPSINDy: Data-Driven Discovery of Equations of Motion.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Kushagra Gupta

David Fridovich-Keil

CoRR, 2023

Active Inverse Learning in Stackelberg Trajectory Games.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Tyler Westenbroek

Jacob Levy

David Fridovich-Keil

CoRR, 2023

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

[BibT_eX]

[DOI]

Tianyu Qiu

David Fridovich-Keil

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Patrick H. Washington

David Fridovich-Keil

Mac Schwager

Proceedings of the American Control Conference, 2023

Cost Design in Atomic Routing Games.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Inverse Matrix Games with Unique Nash Equilibrium.

[BibT_eX]

[DOI]

CoRR, 2022

Relationship Design for Socially Desirable Behavior in Static Games.

[BibT_eX]

[DOI]

CoRR, 2022

Hierarchical Control for Multi-Agent Autonomous Racing.

[BibT_eX]

[DOI]

Rishabh Saumil Thakkar

CoRR, 2022

Learning Mixed Strategies in Trajectory Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2021

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

[BibT_eX]

[DOI]

Dennis R. Anthony

David Fridovich-Keil

Jaime F. Fisac

CoRR, 2021

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

[BibT_eX]

[DOI]

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

Multi-Hypothesis Interactions in Game-Theoretic Motion Planning.

[BibT_eX]

[DOI]

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

Approximate Solutions to a Class of Reachability Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Practical Algorithms for Reliable Autonomy

[BibT_eX]

[DOI]

David Fridovich-Keil

PhD thesis, 2020

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

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Confidence-aware motion prediction for real-time collision avoidance<sup>1</sup>.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Feedback Linearization for Uncertain Systems via Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2019

Feedback Linearization for Unknown Systems via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

A Classification-based Approach for Approximate Reachability.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

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

[BibT_eX]

[DOI]

David Fridovich-Keil

Jaime F. Fisac

Claire J. Tomlin

CoRR, 2018

A Successive-Elimination Approach to Adaptive Robotic Sensing.

[BibT_eX]

[DOI]

CoRR, 2018

Data-Driven Decentralized Optimal Power Flow.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Probabilistically Safe Robot Planning with Confidence-Based Human Predictions.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIV, 2018

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

[BibT_eX]

[DOI]

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

2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

David Fridovich-Keil

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...