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2411.02975
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Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
5 November 2024
Francisco Giral
Ignacio Gómez
Ricardo Vinuesa
S. L. Clainche
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ArXiv (abs)
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Papers citing
"Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation"
25 / 25 papers shown
Title
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
Dohyun Kim
Jayden Dongwoo Lee
Hyochoong Bang
Jungho Bae
207
0
0
13 May 2025
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
International Conference on Computer Aided Design (ICCAD), 2024
Zebin Yang
Renze Chen
Taiqiang Wu
Ngai Wong
Yun Liang
Runsheng Wang
R. Huang
Meng Li
MQ
167
2
0
23 Oct 2024
Navigation in a simplified Urban Flow through Deep Reinforcement Learning
Journal of Computational Physics (JCP), 2024
Federica Tonti
Jean Rabault
Ricardo Vinuesa
207
6
0
26 Sep 2024
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
Dhruva Tirumala
Markus Wulfmeier
Ben Moran
Sandy Huang
Jan Humplik
...
Kushal Patel
Marlon Gwira
Francesco Nori
Martin Riedmiller
N. Heess
200
23
0
03 May 2024
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
IEEE transactions on computers (IEEE Trans. Comput.), 2024
Victor J. B. Jung
Luca Bompani
Moritz Scherer
Francesco Conti
Luca Benini
255
14
0
03 Apr 2024
LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction
International Conference on Hybrid Systems: Computation and Control (HSCC), 2024
Jun Liu
Yiming Meng
Maxwell Fitzsimmons
Rui Zhou
177
27
0
15 Mar 2024
TraKDis: A Transformer-based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
IEEE Robotics and Automation Letters (RA-L), 2024
Wei Chen
Nicolás Rojas
181
15
0
24 Jan 2024
MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
Neural Information Processing Systems (NeurIPS), 2023
Yinan Liang
Ziwei Wang
Xiuwei Xu
Yansong Tang
Jie Zhou
Jiwen Lu
158
17
0
25 Oct 2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Ken Caluwaerts
Atil Iscen
J. Kew
Wenhao Yu
Tingnan Zhang
...
J. Seto
Carolina Parada
Vikas Sindhwani
Vincent Vanhoucke
Jie Tan
156
74
0
24 May 2023
Real-World Humanoid Locomotion with Reinforcement Learning
Science Robotics (Sci. Robot.), 2023
Ilija Radosavovic
Tete Xiao
Bike Zhang
Trevor Darrell
Jitendra Malik
Koushil Sreenath
252
246
0
06 Mar 2023
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
294
808
0
10 Jan 2023
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Rui Zhou
Thanin Quartz
H. Sterck
Jun Liu
186
75
0
04 Jun 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods
IEEE Transactions on robotics (TRO), 2022
Charles Dawson
Sicun Gao
Chuchu Fan
151
307
0
23 Feb 2022
Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control
Killian Dally
E. Kampen
94
22
0
16 Feb 2022
Online Decision Transformer
International Conference on Machine Learning (ICML), 2022
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
187
229
0
11 Feb 2022
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
International Conference on Machine Learning (ICML), 2021
Tianwei Ni
Benjamin Eysenbach
Ruslan Salakhutdinov
308
136
0
11 Oct 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Neural Information Processing Systems (NeurIPS), 2021
Michael Janner
Qiyang Li
Sergey Levine
OffRL
521
774
0
03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
Neural Information Processing Systems (NeurIPS), 2021
Lili Chen
Kevin Lu
Aravind Rajeswaran
Kimin Lee
Aditya Grover
Michael Laskin
Pieter Abbeel
A. Srinivas
Igor Mordatch
OffRL
467
1,933
0
02 Jun 2021
Transfer Learning in Deep Reinforcement Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRL
LRM
494
757
0
16 Sep 2020
Learning Stability Certificates from Data
Nicholas M. Boffi
Stephen Tu
Nikolai Matni
Jean-Jacques E. Slotine
Vikas Sindhwani
166
104
0
13 Aug 2020
Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles
B. Lindqvist
Sina Sharif Mansouri
Ali-akbar Agha-mohammadi
G. Nikolakopoulos
146
237
0
03 Aug 2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
IEEE Robotics and Automation Letters (RA-L), 2020
Minghao Han
Lixian Zhang
Jun Wang
Wei Pan
237
135
0
29 Apr 2020
Stabilizing Transformers for Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
230
419
0
13 Oct 2019
Attention Is All You Need
Neural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.3K
156,353
0
12 Jun 2017
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
721
21,991
0
09 Mar 2015
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