Papers
546 papers found
Pontryagin neural operator for solving general-sum differential games with parametric state constraints
Lei Zhang, Mukesh Ghimire, Zhe Xu et al.
Probabilistic ODE solvers for integration error-aware numerical optimal control
Amon Lahr, Filip Tronarp, Nathanael Bosch et al.
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
George Pantazis, Filiberto Fele, Filippo Fabiani et al.
Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds
Yuliang Gu, Sheng Cheng, Naira Hovakimyan
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints
Sihan Zeng, Youngdae Kim, Yuxuan Ren et al.
Rademacher complexity of neural ODEs via Chen-Fliess series
Joshua Hanson, Maxim Raginsky
Random features approximation for control-affine systems
Kimia Kazemian, Yahya Sattar, Sarah Dean
Real-time safe control of neural network dynamic models with sound approximation
Hanjiang Hu, Jianglin Lan, Changliu Liu
Real-world fluid directed rigid body control via deep reinforcement learning
Mohak Bhardwaj, Thomas Lampe, Michael Neunert et al.
Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees
Charis Stamouli, Lars Lindemann, George Pappas
Reinforcement learning-driven parametric curve fitting for snake robot gait design
Jack Naish, Jacob Rodriguez, Jenny Zhang et al.
Residual learning and context encoding for adaptive offline-to-online reinforcement learning
Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
Restless bandits with rewards generated by a linear Gaussian dynamical system
Jonathan Gornet, Bruno Sinopoli
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
Muhammad Aneeq Uz Zaman, Mathieu Laurière, Alec Koppel et al.
Robust exploration with adversary via Langevin Monte Carlo
Hao-Lun Hsu, Miroslav Pajic
Safe dynamic pricing for nonstationary network resource allocation
Berkay Turan, Spencer Hutchinson, Mahnoosh Alizadeh
Safe learning in nonlinear model predictive control
Johannes Buerger, Mark Cannon, Martin Doff-Sotta
Safe online convex optimization with multi-point feedback
Spencer Hutchinson, Mahnoosh Alizadeh
Safety filters for black-box dynamical systems by learning discriminating hyperplanes
Will Lavanakul, Jason Choi, Koushil Sreenath et al.
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following
Motoya Ohnishi, Iretiayo Akinola, Jie Xu et al.
Soft convex quantization: revisiting Vector Quantization with convex optimization
Tanmay Gautam, Reid Pryzant, Ziyi Yang et al.
SpOiLer: Offline reinforcement learning using scaled penalties
Padmanaba Srinivasan, William J. Knottenbelt
Stable modular control via contraction theory for reinforcement learning
Bing Song, Jean-Jacques Slotine, Quang-Cuong Pham
State-wise safe reinforcement learning with pixel observations
Sinong Zhan, Yixuan Wang, Qingyuan Wu et al.
STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents
Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay