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Forrest Laine
Forrest Laine
Assistant Professor, Vanderbilt University
Verified email at vanderbilt.edu
Title
Cited by
Cited by
Year
Learning quadrotor dynamics using neural network for flight control
S Bansal, AK Akametalu, FJ Jiang, F Laine, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 4653-4660, 2016
1992016
The Computation of Approximate Generalized Feedback Nash Equilibria
F Laine, D Fridovich-Keil, CY Chiu, C Tomlin
SIAM Journal on Optimization 33 (1), 294-318, 2023
562023
Multi-hypothesis interactions in game-theoretic motion planning
F Laine, D Fridovich-Keil, CY Chiu, C Tomlin
2021 IEEE International Conference on Robotics and Automation (ICRA), 8016-8023, 2021
292021
Efficient computation of feedback control for equality-constrained lqr
F Laine, C Tomlin
2019 International Conference on Robotics and Automation (ICRA), 6748-6754, 2019
27*2019
Contingency games for multi-agent interaction
L Peters, A Bajcsy, CY Chiu, D Fridovich-Keil, F Laine, L Ferranti, ...
IEEE Robotics and Automation Letters, 2024
202024
Parallelizing lqr computation through endpoint-explicit riccati recursion
F Laine, C Tomlin
2019 IEEE 58th Conference on Decision and Control (CDC), 1395-1402, 2019
172019
Eyes-closed safety kernels: Safety for autonomous systems under loss of observability
F Laine, CY Chiu, C Tomlin
Proceedings of Robotics: Science and Systems 2020, 2020
122020
Ensuring safety for sampled data systems: An efficient algorithm for filtering potentially unsafe input signals
IM Mitchell, J Yeh, FJ Laine, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 7431-7438, 2016
112016
Learning mixed strategies in trajectory games
L Peters, D Fridovich-Keil, L Ferranti, C Stachniss, J Alonso-Mora, F Laine
Proceedings of Robotics: Science and Systems 2022, 2022
102022
Mathematical program networks
F Laine
arXiv preprint arXiv:2404.03767, 2024
32024
Algorithmic collusion in a two-sided market: A rideshare example
P Koirala, F Laine
arXiv preprint arXiv:2405.02835, 2024
22024
Monte carlo optimization for solving multilevel stackelberg games
P Koirala, F Laine
arXiv preprint arXiv:2312.03282, 2023
22023
Progress and proposals: A case study of monocular depth estimation
K Sarwari, F Laine, C Tomlin
Master’s thesis, EECS Department, University of California, Berkeley 3 (7), 2021
22021
Real-time funnel generation for restricted motion planning
H Ravanbakhsh, F Laine, SA Seshia
arXiv preprint arXiv:1911.01532, 2019
22019
Decreasing Wages in Gig Economy: A Game Theoretic Explanation Using Mathematical Program Networks
P Koirala, F Laine
arXiv preprint arXiv:2404.10929, 2024
12024
Incorporating data uncertainty in object tracking algorithms
A Muthali, F Laine, C Tomlin
arXiv preprint arXiv:2109.10521, 2021
12021
Mixed Strategy Constraints in Continuous Games
M Krusniak, F Laine
arXiv preprint arXiv:2402.17874, 2024
2024
Does bilevel optimization result in more competitive racing behavior?
A Cinar, F Laine
arXiv preprint arXiv:2402.09548, 2024
2024
A trainable manifold for accurate approximation with ReLU Networks
M Milkert, FJ Laine
2023
QTOS: An Open-Source Quadruped Trajectory Optimization Stack
A Skoutnev, A Cinar, P Sigdel, F Laine
arXiv preprint arXiv:2309.09058, 2023
2023
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