[edit]
[edit]
Editors: Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, Nikolay Atanasov
Flickering Multi-Armed Bandits
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1-70
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
Devesh Nath, Haoran Yin, Glen Chou; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:71-97
Model-Based Reinforcement Learning under Random Observation Delays
Armin Karamzade, Kyungmin Kim, JB Lanier, Davide Corsi, Roy Fox; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:98-116
Adapting World Models with Latent-State Dynamics Residuals
JB Lanier, Kyungmin Kim, Armin Karamzade, Yifei Liu, Ankita Sinha, Kat He, Davide Corsi, Roy Fox; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:117-144
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
Kensuke Nakamura, Arun L Bishop, Steven Man, Aaron M. Johnson, Zachary Manchester, Andrea Bajcsy; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:145-168
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
Nelson Chen, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas Bekris, Mridul Aanjaneya; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:169-182
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
Kaier Liang, Licheng Luo, Yixuan Wang, Mingyu Cai, Cristian Ioan Vasile; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:183-195
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
Srujan Deolasee, Siva Kailas, Wenhao Luo, Katia P. Sycara, Woojun Kim; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:196-208
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
Andrea Goertzen, Sunbochen Tang, Navid Azizan; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:209-221
Learning to Solve Constrained Bilevel Control Co-Design Problems
James Kotary, Himanshu Sharma, Ethan King, Draguna L Vrabie, Ferdinando Fioretto, Jan Drgona; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:222-241
ACE: Adapting sampling for Counterfactual Explanations
Margarita A. Guerrero, Cristian R. Rojas; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:242-264
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath, Ishita Gupta, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Marcell Vazquez-Chanlatte, Liam Pedersen, Tairan He, Guanya Shi; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:265-281
Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel
Wentao Tang, Xiuzhen Ye; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:282-298
Zero-Shot Function Encoder-Based Differentiable Predictive Control
Hassan Iqbal, Xingjian Li, Tyler Ingebrand, Adam Thorpe, Krishna Kumar, Ufuk Topcu, Jan Drgona; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:299-315
Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
Asrin Efe Yorulmaz, Tamer Basar; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:316-345
Kernel-Based Safe Exploration in Deep Reinforcement Learning
R Majumdar, Nikhil Singh, Sadegh Soudjani; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:346-366
A Unified Framework for Locality in Scalable MARL
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni, Lijun Chen; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:367-396
BGCL:Learning Constitutive Laws for System Identification
Abhishek Patkar, Kamal Youcef-Toumi; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:397-411
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
Anutam Srinivasan, Antoine Leeman, Glen Chou; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:412-439
HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincaré Maps, and Regions of Attraction
Blake Werner, Sergio Esteban, Massimiliano de Sa, Max H. Cohen, Aaron Ames; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:440-459
Realistic Internal Dynamics Are Essential for Human-Like Control: An Optimal Feedback Control Perspective
Nima Akbari; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:460-471
Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification
Aneesh Raghavan, Christos Mavridis, Karl Henrik Johansson, John Baras; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:472-483
Precise Performance of Linear Denoisers in The Proportional Regime
Reza Ghane, Danil Akhtiamov, Babak Hassibi; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:484-510
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
Shreyas Bharadwaj, Bamdev Mishra, Cyrus Mostajeran, Alberto Padoan, Jeremy Coulson, Ravi N. Banavar; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:511-531
Active Constraint Learning in High Dimensions from Demonstrations
Zheng Qiu, Chih-Yuan Chiu, Glen Chou; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:532-556
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
Zhiheng Chen, Urban Fasel, Anastasia Bizyaeva; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:557-573
GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories
Jon Goikoetxea, Jesús F. Palacián; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:574-588
Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems
Aneesh Raghavan, Karl Henrik Johansson; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:589-600
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
Kaizer Rahaman, Jyotirmoy V. Deshmukh, Ashish R. Hota, Lars Lindemann; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:601-623
Improving EV Aggregate Flexibility with End-to-End Learning
Apoorva Thanvantri, Christopher Yeh, Nicolas Christianson, Adam Wierman; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:624-639
BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
Ali Taheri, Alireza Taban, Sadegh Soudjani, Ashutosh Trivedi; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:640-661
Warm-starting active-set solvers using graph neural networks
Ella J. Schmidtobreick, Daniel Arnström, Paul Häusner, Jens Sjölund; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:662-677
Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
Omid Mirzaeedodangeh, Eliot Seo Shekhtman, Nikolai Matni, Lars Lindemann; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:678-704
TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint
Haotian Lin, Pengcheng Wang, Jeff Schneider, Guanya Shi; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:705-736
Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures
Samuel I. Akinwande, Chelsea Rose Sidrane, Mykel Kochenderfer, Clark Barrett; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:737-760
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
Toshiaki Hori, Jonathan DeCastro, Deepak Edakkattil Gopinath, Avinash Balachandran, Guy Rosman; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:761-787
Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
Zhouxing Shi, Haoyu Li, Cho-Jui Hsieh, Huan Zhang; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:788-808
Workflow Search Reinforcement Learning over Structured Decompositions
Guangyu Jiang, Shu Hong, Mahdi Imani, Nathaniel D. Bastian, Tian Lan; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:809-832
Safe Control using Learned Safety Filters and Adaptive Conformal Inference
Sacha Huriot, Ihab Tabbara, Hussein Sibai; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:833-847
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
Feras Al Taha, Eilyan Bitar; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:848-871
Online Adaptive Probabilistic Safety Certificate with Language Guidance
Zhuoyuan Wang, Xiyu Deng, Hikaru Hoshino, Yorie Nakahira; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:872-903
Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
Rohit Sonker, Hiro Josep Farre Kaga, Jiayu Chen, Andrew Rothstein, Ian Char, Ricardo Shousha, Egemen Kolemen, Jeff Schneider; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:904-924
Online Caching in Tree Networks: Algorithms, Regret, and Complexity
Ativ Joshi, Rajat De, Rajarshi Bhattacharjee, Cameron N Musco, Abhishek Sinha, Mohammad Hajiesmaili; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:925-952
Optimizing Coordination among Bounded Rational Agents
Zhewei Wang, Marcos M. Vasconcelos; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:953-964
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
Chelsea Rose Sidrane, Jana Tumova; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:965-981
Certified Robust Invariant Polytope Training in Neural Controlled ODEs
Akash Harapanahalli, Samuel Coogan; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:982-999
OffRIPP: Offline RL-based Informative Path Planning
Srikar Babu Gadipudi, Srujan Deolasee, Siva Kailas, Wenhao Luo, Katia P. Sycara, Woojun Kim; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1000-1011
An accelerated proximal bundle method for convex optimization
Feng-Yi Liao, Thomas Madden, Yang Zheng; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1012-1034
Differentiable Filtering for Learning Hidden Markov Models
Reginald Zhiyan Chen, Heng-Sheng Chang, Prashant G Mehta; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1035-1054
A Hybrid Learning-to-Optimize Framework for Mixed-Integer Quadratic Programming
Viet-Anh Le, Mu Xie, Rahul Mangharam; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1055-1069
Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
Taha Entesari, Mahyar Fazlyab; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1070-1087
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
Arthur Castello Branco de Oliveira, Dhruv D. Jatkar, Eduardo Sontag; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1088-1107
Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems
Mareddu Siva Rohit, Parisa Ansari Bonab, Elisabeth Andarge Gedefaw, Mohammad Khajenejad; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1108-1120
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
Mintae Kim, Koushil Sreenath; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1121-1133
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
Yujin Kim, Sarah Dean; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1134-1156
Optimal control of the future via prospective learning with control
Yuxin Bai, Aranyak Acharyya, Ashwin De Silva, Zeyu Shen, James Hassett, Joshua T Vogelstein; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1157-1180
TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
Nikunj Gupta, Ludwika Twardecka, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor Prasanna; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1181-1198
Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning
Shafeef Omar, Majid Khadiv; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1199-1211
Formalizing Task-Space Complexity for Zero-Shot Generalization
Jung-Hoon Cho, Heling Zhang, Siqi Du, Roy Dong, Cathy Wu; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1212-1228
The PID Controller Strikes Back: Classical Controller Helps Mitigate Barren Plateaus in Noisy Variational Quantum Circuits
Zhehao Yi, Rahul Bhadani; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1229-1242
A Robust Task-Level Control Architecture for Learned Dynamical Systems
Eshika Pathak, Ahmed Aboudonia, Sandeep Banik, Naira Hovakimyan; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1243-1259
Learned Incremental Nonlinear Dynamic Inversion for Quadrotors with and without Slung Payloads
Eckart Cobo-Briesewitz, Khaled Wahba, Wolfgang Hönig; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1260-1274
Policy Optimization for Unknown Systems using Differentiable MPC
Riccardo Zuliani, Efe C. Balta, John Lygeros; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1275-1287
Provably Safe Stein Variational Clarity-Aware Informative Planning
Kaleb Ben Naveed, Utkrisht Sahai, Anouck Girard, Dimitra Panagou; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1288-1305
Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control
Victor Vantilborgh, Mohammad Mahmoudi Filabadi, Tom Lefebvre, Guillaume Crevecoeur; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1306-1321
Physics-Informed Neural Operators for Cardiac Electrophysiology
Hannah Lydon, Milad Kazemi, Martin Bishop, Nicola Paoletti; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1322-1338
Data-driven Acceleration of MPC with Guarantees
Agustin Castellano, PAN SHIJIE, Enrique Mallada; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1339-1362
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
Marcell Bartos, Johannes Köhler, Florian Dorfler, Melanie Zeilinger; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1363-1381
ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements
Kai S. Yun, Navid Azizan; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1382-1395
PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems
Florian Courteville, Iain Henderson, Denis MATIGNON, Sylvain Dubreuil; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1396-1417
MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy
Saida Liu, Nikolay Atanasov, Shumon Koga; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1418-1431
Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis
Albert Lin, Alessandro Pinto, Somil Bansal; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1432-1446
PG-BIG: Personalized Guidance for Biomechanically Informed Generative Models in Exercise Science
Nicholas C King, Jared Maeyama, Shubh Maheshwari, Andrew Mcculloch, Rose Yu; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1447-1469
Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter
Byeongjun Kim, H. Jin Kim; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1470-1482
Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes
Ruijie Du, Ruoyu Lin, Yanning Shen, Magnus B. Egerstedt; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1483-1511
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
Vinay Kanakeri, Shivam Bajaj, Ashwin Verma, Vijay Gupta, Aritra Mitra; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1512-1541
Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis
Ibrahim Kurban Ozaslan, Tryphon Georgiou, Mihailo Jovanovic; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1542-1557
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
Jun Wang, Yevgeniy Vorobeychik, Yiannis Kantaros; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1558-1574
Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
Chih-Fan Pai, Xu Shang, Jiachen Qian, Yang Zheng; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1575-1600
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
Hans Harder, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, Sebastian Peitz; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1601-1619
Latent Linear Quadratic Regulator for Robotic Control Tasks
Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka, Colin Jones, Joschka Boedecker; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1620-1637
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
Nikolaus Vertovec, Frederik Baymler Mathiesen, Thom Badings, Luca Laurenti, Alessandro Abate; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1638-1662
Topological Dynamics via Learned Hybrid Systems
Bernardo Rivas, William Kalies, Kaito Iwasaki, Anthony Bloch, Maani Ghaffari; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1663-1674
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
Saraswati Soedarmadji, Yunyue Wei, Chen Zhang, Yisong Yue, Yanan Sui; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1675-1693
On the Exponential Stability of Koopman Model Predictive Control
Xu Shang, Jorge Cortes, Yang Zheng; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1694-1712
Instrumental variables system identification with $L^p$ consistency
Simon Kuang, Xinfan Lin; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1713-1740
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
Simon Kuang, Xinfan Lin; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1741-1790
Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates
Liang Wu, Wallace Gian Yion Tan, Richard Braatz, Jan Drgona; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1791-1803
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
Alper Kamil Bozkurt, Xiaoan Xu, Shangtong Zhang, Miroslav Pajic, Yuichi Motai; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1804-1817
Adversarially Robust Multitask Adaptive Control
Kasra Fallah, Leonardo Felipe Toso, James Anderson; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1818-1856
Learning Quantized Continuous Controllers for Integer Hardware
Fabian Kresse, Christoph H. Lampert; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1857-1874
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
Jan-Hendrik Ewering, Robin Erik Herrmann, Niklas Wahlström, Thomas B. Schön, Thomas Seel; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1875-1894
Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection
Joshua Näf, Keith Moffat, Jaap Eising, Florian Dorfler; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1895-1915
Balance Equation-based Distributionally Robust Offline Imitation Learning
Rishabh Agrawal, Yusuf Alvi, Rahul Jain, Ashutosh Nayyar; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1916-1938
Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
David Millard, Ali Baheri; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1939-1953
Misinformation Mitigation over Social Networks: a Control Approach
Nicolò Pagan, Andreas Philippou, Giulia De Pasquale; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1954-1965
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
Minseok Jeong, SooJean Han, Hyo-Sang Shin; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1966-1980
Learning Multi-Robot Coordination with Invariant Consensus Stabilization
Hang Yin, Christos Verginis, Danica Kragic; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1981-1994
Learning to accelerate distributed ADMM using graph neural networks
Henri Doerks, Paul Häusner, Daniel Hernández Escobar, Jens Sjölund; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1995-2020
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrtT$-Regret
Benjamin Schiffer, Lucas Janson; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2021-2108
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
Murad Dawood, Usama Ahmed Siddiquie, Shahram Khorshidi, Maren Bennewitz; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2109-2122
Learning Nonholonomic Dynamics with Constraint Discovery
Baiyue Wang, Anthony Bloch; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2123-2137
Online Subspace Learning on Flag Manifolds for System Identification
Dian Jin, Jeremy Coulson; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2138-2150
Subgradient Method for System Identification with Non-Smooth Objectives
Baturalp Yalcin, Jihun Kim, Javad Lavaei; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2151-2170
Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
Simon Sinong Zhan, Philip Wang, Qingyuan Wu, Ruochen Jiao, Yixuan Wang, Chao Huang, Qi Zhu; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2171-2206
Central Limit Theorems for Asynchronous Averaged Q-Learning
Xingtu Liu; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2207-2230
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。