| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry |
Competing Bandits in Time Varying Matching Markets.  |
L4DC  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab |
Certified Invertibility in Neural Networks via Mixed-Integer Programming. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Taha Entesari, Mahyar Fazlyab |
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche |
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Karthik Elamvazhuthi, Xuechen Zhang 0002, Samet Oymak, Fabio Pasqualetti |
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francesco De Lellis, Marco Coraggio, Giovanni Russo 0002, Mirco Musolesi, Mario di Bernardo |
CT-DQN: Control-Tutored Deep Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov 0001 |
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer |
Filter-Aware Model-Predictive Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hengquan Guo, Zhu Qi, Xin Liu 0049 |
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xunbi A. Ji, Gábor Orosz |
Learning the dynamics of autonomous nonlinear delay systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko Oishi, Panagiotis Tsiotras |
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov 0001 |
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rishi Rani, Massimo Franceschetti |
Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adithya Ramesh, Balaraman Ravindran |
Physics-Informed Model-Based Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman |
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lukas Brunke, Siqi Zhou, Angela P. Schoellig |
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Saber Jafarpour, Matthew Abate, Alexander Davydov 0001, Francesco Bullo, Samuel Coogan 0001 |
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao 0002 |
Adversarially Regularized Policy Learning Guided by Trajectory Optimization. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool |
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rameez Wajid, Asad Ullah Awan, Majid Zamani 0001 |
Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen S. W. Lamb |
Learning Reversible Symplectic Dynamics. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Nima Eshraghi, Ben Liang 0001 |
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ross Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli, Frank Allgöwer |
Bounding the Difference Between Model Predictive Control and Neural Networks. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Julian Viereck, Avadesh Meduri, Ludovic Righetti |
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuda Song 0001, Ye Yuan 0007, Wen Sun 0002, Kris Kitani |
Online No-regret Model-Based Meta RL for Personalized Navigation. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames |
Safety-Aware Preference-Based Learning for Safety-Critical Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames |
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Gautam Goel, Babak Hassibi |
Online Estimation and Control with Optimal Pathlength Regret. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone 0001 |
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Thinh T. Doan 0001 |
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuanhanqing Huang, Jianghai Hu |
Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yifeng Jiang 0002, Jiazheng Sun, C. Karen Liu |
Data-Augmented Contact Model for Rigid Body Simulation. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi |
Safe Reinforcement Learning with Chance-constrained Model Predictive Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Han Wang 0016, James Anderson 0001 |
Learning Linear Models Using Distributed Iterative Hessian Sketching. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Muhammed O. Sayin, K. Alperen Cetiner |
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang 0001 |
Block Contextual MDPs for Continual Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Anirudh Vemula, Wen Sun 0002, Maxim Likhachev, J. Andrew Bagnell |
On the Effectiveness of Iterative Learning Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen |
PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu |
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Udaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski |
Robust Online Control with Model Misspecification. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti |
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alan Yang, Jie Xiong, Maxim Raginsky, Elyse Rosenbaum |
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ting-Han Fan, Xian Yeow Lee, Yubo Wang |
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone 0001 |
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ningyuan Zhang, Wenliang Liu, Calin Belta |
Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche |
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn |
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rel Guzman Apaza, Rafael Oliveira 0001, Fabio Ramos 0001 |
Adaptive Model Predictive Control by Learning Classifiers. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen |
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra |
Time Varying Regression with Hidden Linear Dynamics. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuchen Cui, Scott Niekum, Abhinav Gupta 0001, Vikash Kumar, Aravind Rajeswaran |
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Santiago Sanchez-Escalonilla Plaza, Rodolfo Reyes-Báez, Bayu Jayawardhana |
Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Agustin Castellano, Hancheng Min, Enrique Mallada, Juan Andrés Bazerque |
Reinforcement Learning with Almost Sure Constraints. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Milad Farsi, Yinan Li 0001, Ye Yuan, Jun Liu 0015 |
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhe Du, Necmiye Ozay, Laura Balzano |
Clustering-based Mode Reduction for Markov Jump Systems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok |
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil |
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus |
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samuel Low, Mykel J. Kochenderfer |
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo, Majid Zamani 0001 |
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vittorio Caggiano, Huawei Wang 0003, Guillaume Durandau, Massimo Sartori, Vikash Kumar |
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ali Salamati, Majid Zamani 0001 |
Data-Driven Safety Verification of Stochastic Systems via Barrier Certificates: A Wait-and-Judge Approach. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni |
Adversarially Robust Stability Certificates can be Sample-Efficient. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Henk van Waarde, Rodolphe Sepulchre |
Training Lipschitz Continuous Operators Using Reproducing Kernels. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu |
Neural Point Process for Learning Spatiotemporal Event Dynamics. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Saul Santos, Monica Ekal, Rodrigo M. M. Ventura |
Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Daniel Gurevich, Debdipta Goswami, Charles L. Fefferman, Clarence W. Rowley |
Optimal Control with Learning on the Fly: System with Unknown Drift. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Brett Thomas Lopez, Jean-Jacques E. Slotine |
Adaptive Variants of Optimal Feedback Policies. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Suhail Alsalehi, Erfan Aasi, Ron Weiss, Calin Belta |
Learning Spatio-Temporal Specifications for Dynamical Systems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon |
Experience Replay with Likelihood-free Importance Weights. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese |
Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa |
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Cameron R. Wolfe, Anastasios Kyrillidis |
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Benjamin Gravell, Iman Shames, Tyler H. Summers |
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Brendon G. Anderson, Somayeh Sojoudi |
Certified Robustness via Locally Biased Randomized Smoothing. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate |
Safe Control with Minimal Regret. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni |
On the Sample Complexity of Stability Constrained Imitation Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ce Xu Zheng, Adrià Colomé, Luis Sentis, Carme Torras |
Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhichao Li, Thai P. Duong, Nikolay Atanasov 0001 |
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Marcos M. Vasconcelos |
Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales |
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas |
Adaptive Stochastic MPC under Unknown Noise Distribution. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Olle Kjellqvist, Anders Rantzer |
Learning-Enabled Robust Control with Noisy Measurements. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Wanxin Jin, Alp Aydinoglu, Mathew Halm, Michael Posa |
Learning Linear Complementarity Systems. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis |
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Feiran Zhao, Xingchen Li, Keyou You |
Data-driven Control of Unknown Linear Systems via Quantized Feedback. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer (eds.) |
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong |
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Franck Djeumou, Ufuk Topcu |
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese |
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Daniel Jung 0002 |
Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yansong Li, Shuo Han 0002 |
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Amir Khazraei, Henry D. Pfister, Miroslav Pajic |
Resiliency of Perception-Based Controllers Against Attacks. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch |
Traversing Time with Multi-Resolution Gaussian Process State-Space Models. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | |
Preface. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer |
Tracking and Planning with Spatial World Models. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tianhao Wei, Changliu Liu |
Safe Control with Neural Network Dynamic Models. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rahul Singh 0002, Keuntaek Lee, Yongxin Chen |
Sample-based Distributional Policy Gradient. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger |
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jingrong Wang, Ben Liang 0001 |
Gradient and Projection Free Distributed Online Min-Max Resource Optimization. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
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