Papers
546 papers found
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Yecheng Jason Ma, Kausik Sivakumar, Jason Yan et al.
Learning Robust State Observers using Neural ODEs
Keyan Miao, Konstantinos Gatsis
Learning Stability Attention in Vision-based End-to-end Driving Policies
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine et al.
Learning the dynamics of autonomous nonlinear delay systems
Xunbi Ji, Gabor Orosz
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
Bilgehan Sel, Ahmad Tawaha, Yuhao Ding et al.
Learning Trust Over Directed Graphs in Multiagent Systems
Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil et al.
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
Valentin Duruisseaux, Thai P. Duong, Melvin Leok et al.
Linear Stochastic Bandits over a Bit-Constrained Channel
Aritra Mitra, Hamed Hassani, George J. Pappas
Lipschitz constant estimation for 1D convolutional neural networks
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
Model-Based Reinforcement Learning for Cavity Filter Tuning
Doumitrou Daniil Nimara, Mohammadreza Malek-Mohammadi, Petter Ogren et al.
Model-based Validation as Probabilistic Inference
Harrison Delecki, Anthony Corso, Mykel Kochenderfer
Model Predictive Control via On-Policy Imitation Learning
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania et al.
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Multi-Agent Reinforcement Learning with Reward Delays
Yuyang Zhang, Runyu Zhang, Yuantao Gu et al.
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang, Katie Kang, Bruce D Lee et al.
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
Tanya Veeravalli, Maxim Raginsky
Offline Model-Based Reinforcement Learning for Tokamak Control
Ian Char, Joseph Abbate, Laszlo Bardoczi et al.
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
Zhaolin Ren, Yang Zheng, Maryam Fazel et al.
Online Estimation of the Koopman Operator Using Fourier Features
Tahiya Salam, Alice Kate Li, M. Ani Hsieh
Online Saddle Point Tracking with Decision-Dependent Data
Killian Reed Wood, Emiliano Dall’Anese
Online switching control with stability and regret guarantees
Yingying Li, James A Preiss, Na Li et al.
Operator Learning for Nonlinear Adaptive Control
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
Physics-enhanced Gaussian Process Variational Autoencoder
Thomas Beckers, Qirui Wu, George J. Pappas
Physics-Guided Active Learning of Environmental Flow Fields
Reza Khodayi-mehr, Pingcheng Jian, Michael M. Zavlanos
Physics-Informed Model-Based Reinforcement Learning
Adithya Ramesh, Balaraman Ravindran