Papers
546 papers found
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng, Tianyi Chen, Alfredo Garcia et al.
Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects
Ce Xu Zheng, Adriá Colomé, Luis Sentis et al.
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors
Steven Morad, Stephan Liwicki, Ryan Kortvelesy et al.
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control
Vittorio Caggiano, Huawei Wang, Guillaume Durandau et al.
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Ryan Sander, Wilko Schwarting, Tim Seyde et al.
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies
Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue et al.
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
Franck Djeumou, Cyrus Neary, Eric Goubault et al.
Neural Point Process for Learning Spatiotemporal Event Dynamics
Zihao Zhou, Xingyi Yang, Ryan Rossi et al.
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition
Andrea Sassella, Valentina Breschi, Simone Formentin
Online Estimation and Control with Optimal Pathlength Regret
Gautam Goel, Babak Hassibi
Online No-regret Model-Based Meta RL for Personalized Navigation
Yuda Song, Yuan Ye, Wen Sun et al.
On the Effectiveness of Iterative Learning Control
Anirudh Vemula, Wen Sun, Maxim Likhachev et al.
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games
Muhammed Sayin, Kemal Cetiner
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu, Alexander Robey, Tingnan Zhang et al.
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression
Nicola Bastianello, Andrea Simonetto, Emiliano Dall’Anese
Optimal Control with Learning on the Fly: System with Unknown Drift
Daniel Gurevich, Debdipta Goswami, Charles L. Fefferman et al.
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints
Samuel Low, Mykel Kochenderfer
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
Ting-Han Fan, Xian Yeow Lee, Yubo Wang
PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control
Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano et al.
Reinforcement Learning with Almost Sure Constraints
Agustin Castellano, Hancheng Min, Enrique Mallada et al.
Resiliency of Perception-Based Controllers Against Attacks
Amir Khazraei, Henry Pfister, Miroslav Pajic
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
Benjamin Gravell, Iman Shames, Tyler Summers
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach
Saber Jafarpour, Matthew Abate, Alexander Davydov et al.