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David Fridovich-Keil
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2020 – today
- 2026
- [j22]Mustafa O. Karabag
, Sophia Smith
When Should a Leader Act Suboptimally? The Role of Inferability in Repeated Stackelberg Games. IEEE Trans. Autom. Control. 71(4): 2139-2154 (2026) - [j21]Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, Ufuk Topcu, David Fridovich-Keil:
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation. Trans. Mach. Learn. Res. 2026 (2026) - [i96]Yash Jain, Xinjie Liu, Lasse Peters, David Fridovich-Keil, Ufuk Topcu:
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations. CoRR abs/2601.00696 (2026) - [i95]Nikolaj Käfer, Ahmed Khalil
Game-Theoretic Autonomous Driving: A Graphs of Convex Sets Approach. CoRR abs/2601.20054 (2026) - [i94]Fernando Palafox, Jingqi Li, Jesse Milzman, David Fridovich-Keil:
Generalized Information Gathering Under Dynamics Uncertainty. CoRR abs/2601.21988 (2026) - [i93]Hamzah Khan, Dong Ho Lee, Jingqi Li, Tianyu Qiu, Christian Ellis, Jesse Milzman, Wesley Suttle, David Fridovich-Keil:
Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations. CoRR abs/2602.01568 (2026) - [i92]Ronald Ogden, David Fridovich-Keil, Takashi Tanaka:
Rate-Distortion Analysis of Optically Passive Vision Compression. CoRR abs/2602.02768 (2026) - [i91]Caleb Probine, Su Ann Low, David Fridovich-Keil, Ufuk Topcu:
When Should Agents Coordinate in Differentiable Sequential Decision Problems? CoRR abs/2602.03674 (2026) - [i90]Jaehan Im, David Fridovich-Keil, Ufuk Topcu:
Noncooperative Virtual Queue Coordination via Uncertainty-Aware Correlated Equilibria. CoRR abs/2602.14436 (2026) - [i89]Jaehan Im, Ufuk Topcu, David Fridovich-Keil:
Chance-Constrained Correlated Equilibria for Robust Noncooperative Coordination. CoRR abs/2603.14141 (2026) - [i88]Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil:
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation. CoRR abs/2603.15759 (2026) - [i87]Tianyu Qiu, Filippos Fotiadis, Xinjie Liu, Christian Ellis, Jesse Milzman, Wesley Suttle, Ufuk Topcu, David Fridovich-Keil:
Linear-Quadratic Gaussian Games with Distributed Sparse Estimation. CoRR abs/2603.17202 (2026) - [i86]Janani S. K, Kushagra Gupta, Ufuk Topcu, David Fridovich-Keil:
Interleaved Information Structures in Dynamic Games: A General Framework with Application to the Linear-Quadratic Case. CoRR abs/2603.18407 (2026) - [i85]Dong Ho Lee, Jingqi Li, Lasse Peters, Georgios Bakirtzis, David Fridovich-Keil:
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation. CoRR abs/2603.26950 (2026) - [i84]Jaehan Im, David Fridovich-Keil, Ufuk Topcu:
Scalable Coordination with Chance-Constrained Correlated Equilibria via Reduced-Rank Structure. CoRR abs/2604.00456 (2026) - [i83]David Sewell, Xingjian Li, Stepan Tretiakov, Krishna Kumar, David Fridovich-Keil:
Neural Operators for Multi-Task Control and Adaptation. CoRR abs/2604.03449 (2026) - 2025
- [j20]Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil, Ufuk Topcu:
Relationship design for socially-aware behavior in static games. Auton. Agents Multi Agent Syst. 39(1): 15 (2025) - [j19]Dong Ho Lee
A Convex Formulation of Game-Theoretic Hierarchical Routing. IEEE Control. Syst. Lett. 9: 318-323 (2025) - [j18]Kushagra Gupta
More Information Is Not Always Better: Connections Between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns. IEEE Control. Syst. Lett. 9: 1405-1410 (2025) - [j17]Dong Ho Lee
You Can't Always Get What You Want: Games of Ordered Preference. IEEE Robotics Autom. Lett. 10(7): 7182-7189 (2025) - [j16]Cade Armstrong
Inferring Foresightedness in Dynamic Noncooperative Games. IEEE Robotics Autom. Lett. 10(12): 13193-13200 (2025) - [j15]Shubhankar Agarwal, Hamzah Khan, Sandeep P. Chinchali, David Fridovich-Keil:
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games. Trans. Mach. Learn. Res. 2025 (2025) - [j14]Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, Ufuk Topcu, Sandeep P. Chinchali:
Real-Time Privacy Preservation for Robot Visual Perception. Trans. Mach. Learn. Res. 2025 (2025) - [c47]Antonio López, David Fridovich-Keil:
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning. ACC 2025: 180-187 - [c46]William Ward, Yue Yu, Jacob Levy, Negar Mehr, David Fridovich-Keil, Ufuk Topcu:
Active Inverse Learning in Stackelberg Trajectory Games. ACC 2025: 1547-1553 - [c45]Junette Hsin, Shubhankar Agarwal, Adam J. Thorpe, Luis Sentis, David Fridovich-Keil:
Symbolic Regression on Sparse and Noisy Data with Gaussian Processes. ACC 2025: 3170-3175 - [c44]Isaac Remy, David Fridovich-Keil, Karen Leung:
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions. ACC 2025: 3213-3220 - [c43]Brett Barkley, David Fridovich-Keil:
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning. ICML 2025 - [c42]Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil:
Smooth Information Gathering in Two-Player Noncooperative Games. AAMAS 2025: 1595-1603 - [c41]Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu:
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach. AAMAS 2025: 2633-2635 - [c40]Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames:
SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. IROS 2025: 203-210 - [c39]Pau de las Heras Molins
Approximate Solutions to Games of Ordered Preference. ITSC 2025: 3378-3385 - [c38]Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. L4DC 2025: 894-906 - [c37]Steven Swanbeck, Daniel I. Meza, Jared Rosenbaum, David Fridovich-Keil, Mitch Pryor:
Gators: a Game-Theoretic Tool for Optimal Robot Selection and Design in Surface Coverage Applications. UR 2025: 477-483 - [i82]Jaehan Im
Noncooperative Equilibrium Selection via a Trading-based Auction. CoRR abs/2502.03616 (2025) - [i81]Xinjie Liu, Cyrus Neary, Kushagra Gupta, Christian Ellis, Ufuk Topcu, David Fridovich-Keil:
Multi-Fidelity Policy Gradient Algorithms. CoRR abs/2503.05696 (2025) - [i80]Dong Ho Lee, Kaitlyn Donnel, Max Z. Li
A Convex Formulation of Game-theoretic Hierarchical Routing. CoRR abs/2503.13790 (2025) - [i79]Kushagra Gupta, Ross E. Allen, David Fridovich-Keil, Ufuk Topcu:
More Information is Not Always Better: Connections between Zero-Sum Local Nash Equilibria in Feedback and Open-Loop Information Patterns. CoRR abs/2503.15486 (2025) - [i78]Shubhankar Agarwal, Hamzah Khan, Sandeep P. Chinchali, David Fridovich-Keil:
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games. CoRR abs/2503.18224 (2025) - [i77]Jacob Levy, Jason Gibson, Bogdan I. Vlahov, Erica Tevere, Evangelos A. Theodorou, David Fridovich-Keil, Patrick Spieler:
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving. CoRR abs/2504.16923 (2025) - [i76]Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil:
PSN Game: Game-theoretic Planning via a Player Selection Network. CoRR abs/2505.00213 (2025) - [i75]Hamzah Khan, David Fridovich-Keil:
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios. CoRR abs/2505.01945 (2025) - [i74]Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, Ufuk Topcu, Sandeep P. Chinchali:
Real-Time Privacy Preservation for Robot Visual Perception. CoRR abs/2505.05519 (2025) - [i73]Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames:
SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. CoRR abs/2505.11494 (2025) - [i72]Kushagra Gupta, Surya Murthy, Mustafa O. Karabag, Ufuk Topcu, David Fridovich-Keil:
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles. CoRR abs/2505.14817 (2025) - [i71]Pau de las Heras Molins, Eric Roy-Almonacid, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis:
Approximate solutions to games of ordered preference. CoRR abs/2507.11021 (2025) - [i70]Hamzah Khan, Jingqi Li, David Fridovich-Keil:
What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives. CoRR abs/2508.03824 (2025) - [i69]Surya Murthy, Kushagra Gupta, Mustafa O. Karabag, David Fridovich-Keil, Ufuk Topcu:
DiBS-MTL: Transformation-Invariant Multitask Learning with Direction Oracles. CoRR abs/2509.23948 (2025) - [i68]Brett Barkley, Preston Culbertson, David Fridovich-Keil:
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion. CoRR abs/2510.01456 (2025) - [i67]Brett Barkley, David Fridovich-Keil:
Fixing That Free Lunch: When, Where, and Why Synthetic Data Fails in Model-Based Policy Optimization. CoRR abs/2510.01457 (2025) - [i66]I. Arda Vurankaya, Mustafa O. Karabag, Wesley A. Suttle, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu:
Deceptive Exploration in Multi-armed Bandits. CoRR abs/2510.08794 (2025) - [i65]Neel P. Bhatt, Po-han Li, Kushagra Gupta, Rohan Siva
UNCAP: Uncertainty-Guided Planning Using Natural Language Communication for Cooperative Autonomous Vehicles. CoRR abs/2510.12992 (2025) - [i64]Jaehan Im
Game-theoretic Decentralized Coordination for Airspace Sector Overload Mitigation. CoRR abs/2511.13770 (2025) - [i63]Jaehan Im
Iterative Negotiation and Oversight: A Case Study in Decentralized Air Traffic Management. CoRR abs/2511.17625 (2025) - [i62]Nguyen Ly, Caroline Tatsuoka, Jai Nagaraj, Jacob Levy, Fernando Palafox, David Fridovich-Keil, Hannah Lu:
Data-Driven Modeling and Correction of Vehicle Dynamics. CoRR abs/2512.00289 (2025) - 2024
- [j13]Jaehan Im
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. IEEE Control. Syst. Lett. 8: 1637-1642 (2024) - [j12]Rishabh Saumil Thakkar
Hierarchical Control for Head-to-Head Autonomous Racing. Field Robotics 4(1): 46-69 (2024) - [j11]Lasse Peters
Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. 9(3): 2208-2215 (2024) - [j10]Hamzah Khan
Leadership Inference for Multi-Agent Interactions. IEEE Robotics Autom. Lett. 9(5): 4671-4678 (2024) - [j9]Tianyu Qiu
Inferring Occluded Agent Behavior in Dynamic Games From Noise Corrupted Observations. IEEE Robotics Autom. Lett. 9(12): 11489-11496 (2024) - [j8]Jingqi Li
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games. SIAM J. Optim. 34(4): 3723-3749 (2024) - [j7]Rishabh Saumil Thakkar
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. IEEE Trans. Intell. Veh. 9(5): 4845-4860 (2024) - [c36]Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu:
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations. ACC 2024: 360-366 - [c35]Yue Yu, Adam J. Thorpe, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu:
Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing. CDC 2024: 8396-8402 - [c34]Jacob Levy, Tyler Westenbroek, David Fridovich-Keil:
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models. CoRL 2024: 2061-2079 - [c33]Brett Barkley, Amy Zhang, David Fridovich-Keil:
An investigation of time reversal symmetry in reinforcement learning. L4DC 2024: 68-79 - [i61]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) - [i60]Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil:
Auto-Encoding Bayesian Inverse Games. CoRR abs/2402.08902 (2024) - [i59]Jaehan Im
Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria. CoRR abs/2403.10384 (2024) - [i58]Antonio López, David Fridovich-Keil:
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning. CoRR abs/2403.12210 (2024) - [i57]Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park
Smooth Information Gathering in Two-Player Noncooperative Games. CoRR abs/2404.00733 (2024) - [i56]Hamzah Khan, Adam J. Thorpe, David Fridovich-Keil:
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets. CoRR abs/2405.19292 (2024) - [i55]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) - [i54]Isaac Remy, David Fridovich-Keil, Karen Leung:
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions. CoRR abs/2410.07409 (2024) - [i53]Jacob Levy, Tyler Westenbroek, David Fridovich-Keil:
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models. CoRR abs/2410.09163 (2024) - [i52]Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu:
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach. CoRR abs/2410.16441 (2024) - [i51]Nicholas Strohmeyer, Sriram Vishwanath, David Fridovich-Keil:
Improving DeFi Mechanisms with Dynamic Games and Optimal Control: A Case Study in Stablecoins. CoRR abs/2410.21446 (2024) - [i50]Dong Ho Lee, Lasse Peters, David Fridovich-Keil:
You Can't Always Get What You Want : Games of Ordered Preference. CoRR abs/2410.21447 (2024) - [i49]Cade Armstrong, Ryan Park
Inferring Short-Sightedness in Dynamic Noncooperative Games. CoRR abs/2412.01017 (2024) - [i48]Cevahir Köprülü, Po-han Li, Tianyu Qiu
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. CoRR abs/2412.01114 (2024) - [i47]Brett Barkley, David Fridovich-Keil:
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning. CoRR abs/2412.14312 (2024) - 2023
- [j6]Yue Yu
Inverse Matrix Games With Unique Quantal Response Equilibrium. IEEE Control. Syst. Lett. 7: 643-648 (2023) - [j5]Lasse Peters
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
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
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
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
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
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
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. ITSC 2022: 917-922 - [c19]Lasse Peters
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
Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities. CoRR abs/2204.06171 (2022) - [i26]Rishabh Saumil Thakkar, Aryaman Singh Samyal
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
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
Cost Design in Atomic Routing Games. CoRR abs/2210.01221 (2022) - 2021
- [j3]Esther Rolf
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
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
- [b1]David Fridovich-Keil:
Practical Algorithms for Reliable Autonomy. University of California, Berkeley, USA, 2020 - [j2]David Fridovich-Keil
Confidence-aware motion prediction for real-time collision avoidance1. Int. J. Robotics Res. 39(2-3) (2020) - [j1]Roel Dobbe
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
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
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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