Papers
546 papers found
Automatic Integration for Fast and Interpretable Neural Point Processes
Zihao Zhou, Rose Yu
Benchmarking Rigid Body Contact Models
Michelle Guo, Yifeng Jiang, Andrew Everett Spielberg et al.
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret
Gautam Goel, Naman Agarwal, Karan Singh et al.
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma et al.
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
Yi Tian, Kaiqing Zhang, Russ Tedrake et al.
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
Xiaobing Dai, Armin Lederer, Zewen Yang et al.
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
Wenliang Liu, Kevin Leahy, Zachary Serlin et al.
Certified Invertibility in Neural Networks via Mixed-Integer Programming
Tianqi Cui, Thomas Bertalan, George J. Pappas et al.
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
Competing Bandits in Time Varying Matching Markets
Deepan Muthirayan, Chinmay Maheshwari, Pramod Khargonekar et al.
Compositional Learning-based Planning for Vision POMDPs
Sampada Deglurkar, Michael H Lim, Johnathan Tucker et al.
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks
Cyrus Neary, Ufuk Topcu
Compositional Neural Certificates for Networked Dynamical Systems
Songyuan Zhang, Yumeng Xiu, Guannan Qu et al.
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach
Muhammad Abdullah Naeem
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns
SooJean Han, Soon-Jo Chung, Johanna Gustafson
Continuous Versatile Jumping Using Learned Action Residuals
Yuxiang Yang, Xiangyun Meng, Wenhao Yu et al.
Contrastive Example-Based Control
Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov et al.
CT-DQN: Control-Tutored Deep Reinforcement Learning
Francesco De Lellis, Marco Coraggio, Giovanni Russo et al.
Data-driven memory-dependent abstractions of dynamical systems
Adrien Banse, Licio Romao, Alessandro Abate et al.
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Deep Off-Policy Iterative Learning Control
Swaminathan Gurumurthy, J Zico Kolter, Zachary Manchester
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees
Lauren E Conger, Sydney Vernon, Eric Mazumdar
Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning
Rishi Rani, Massimo Franceschetti
DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
Sheng Cheng, Lin Song, Minkyung Kim et al.
Distributionally Robust Lyapunov Function Search Under Uncertainty
Kehan Long, Yinzhuang Yi, Jorge Cortes et al.