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Volume 144: Learning for Dynamics and Control, 7-8 June 2021, The Cloud
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Editors: Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
Preface
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1-5
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On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:6-20
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Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:21-33
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Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:34-46
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Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:47-47
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Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:48-59
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Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:60-72
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Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:73-86
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The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:87-98
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Data-driven design of switching reference governors for brake-by-wire applications
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:99-110
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Graph Neural Networks for Distributed Linear-Quadratic Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:111-124
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Learning to Actively Reduce Memory Requirements for Robot Control Tasks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:125-137
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Non-conservative Design of Robust Tracking Controllers Based on Input-output Data
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:138-149
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Optimal Algorithms for Submodular Maximization with Distributed Constraints
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:150-162
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Data-Driven Reachability Analysis Using Matrix Zonotopes
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:163-175
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Learning local modules in dynamic networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:176-188
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Data-Driven System Level Synthesis
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:189-200
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Learning Approximate Forward Reachable Sets Using Separating Kernels
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:201-212
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On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:213-226
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Cautious Bayesian Optimization for Efficient and Scalable Policy Search
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:227-240
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Nonlinear state-space identification using deep encoder networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:241-250
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Input Convex Neural Networks for Building MPC
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:251-262
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Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:263-274
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A unified framework for Hamiltonian deep neural networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:275-286
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Data-Driven Controller Design via Finite-Horizon Dissipativity
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:287-298
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Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:299-311
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Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:312-323
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Probabilistic robust linear quadratic regulators with Gaussian processes
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:324-335
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Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:336-347
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Sequential Topological Representations for Predictive Models of Deformable Objects
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:348-360
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Robust error bounds for quantised and pruned neural networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:361-372
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The Dynamics of Gradient Descent for Overparametrized Neural Networks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:373-384
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Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:385-398
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Certainty Equivalent Perception-Based Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:399-411
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When to stop value iteration: stability and near-optimality versus computation
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:412-424
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Learning Recurrent Neural Net Models of Nonlinear Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:425-435
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A Data Driven, Convex Optimization Approach to Learning Koopman Operators
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:436-446
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Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:447-458
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Neural Lyapunov Redesign
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:459-470
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Regret Bounds for Adaptive Nonlinear Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:471-483
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Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:484-497
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Safely Learning Dynamical Systems from Short Trajectories
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:498-509
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Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:510-522
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Nonlinear Data-Enabled Prediction and Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:523-534
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Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:535-546
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Suboptimal coverings for continuous spaces of control tasks
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:547-558
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Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:559-570
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Chance-constrained quasi-convex optimization with application to data-driven switched systems control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:571-583
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Control of Unknown (Linear) Systems with Receding Horizon Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:584-596
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Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:597-598
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Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:599-610
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Physics-penalised Regularisation for Learning Dynamics Models with Contact
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:611-622
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The Impact of Data on the Stability of Learning-Based Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:623-635
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Accelerated Learning with Robustness to Adversarial Regressors
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:636-650
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Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:651-663
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Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:664-676
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Training deep residual networks for uniform approximation guarantees
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:677-688
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LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:689-701
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Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:702-714
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Exploiting Sparsity for Neural Network Verification
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:715-727
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Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:728-741
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Stable Online Control of Linear Time-Varying Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:742-753
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ARDL - A Library for Adaptive Robotic Dynamics Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:754-766
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Linear Regression over Networks with Communication Guarantees
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:767-778
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Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:779-790
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Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:791-802
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Data-Driven Abstraction of Monotone Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:803-814
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Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:815-827
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Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:828-841
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Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:842-853
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Near-Optimal Data Source Selection for Bayesian Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:854-865
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Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:866-878
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Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:879-892
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Minimax Adaptive Control for a Finite Set of Linear Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:893-904
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On exploration requirements for learning safety constraints
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:905-916
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Traffic Forecasting using Vehicle-to-Vehicle Communication
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:917-929
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Learning the Dynamics of Time Delay Systems with Trainable Delays
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:930-942
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Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:943-953
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How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:954-966
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Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:967-979
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Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:980-991
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Offset-free setpoint tracking using neural network controllers
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:992-1003
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Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1004-1014
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KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1015-1026
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Contraction L1-Adaptive Control using Gaussian Processes
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1027-1040
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Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1041-1053
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Faster Policy Learning with Continuous-Time Gradients
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1054-1067
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Learning How to Solve “Bubble Ball”
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1068-1079
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Approximate Midpoint Policy Iteration for Linear Quadratic Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1080-1092
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Safe Reinforcement Learning Using Robust Action Governor
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1093-1104
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SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1105-1117
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Fast Stochastic Kalman Gradient Descent for Reinforcement Learning
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1118-1129
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Domain Adaptation Using System Invariant Dynamics Models
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1130-1141
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Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1142-1153
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Offline Reinforcement Learning from Images with Latent Space Models
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1154-1168
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Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1169-1179
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A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1180-1191
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Generating Adversarial Disturbances for Controller Verification
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1192-1204
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Optimal Cost Design for Model Predictive Control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1205-1217
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Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1218-1229
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Learning Visually Guided Latent Actions for Assistive Teleoperation
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1230-1241
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Robust Reinforcement Learning: A Constrained Game-theoretic Approach
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1242-1254
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Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1255-1269
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Regret-optimal measurement-feedback control
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1270-1280
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Learning Finite-Dimensional Representations For Koopman Operators
; Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:1281-1281
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