![[Learning for Dynamics and Control Conference Logo]](/v211/assets/images/logo-pmlr.svg){kind=logo}
[edit]
Volume 211: Learning for Dynamics and Control Conference, 15-16 June 2023, Philadelphia, PA
[edit]
Editors: Nikolai Matni, Manfred Morari, George J. Pappas
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1-11
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:12-25
Physics-Informed Model-Based Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:26-37
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:38-50
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:51-63
Policy Learning for Active Target Tracking over Continuous $SE(3)$ Trajectories
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:64-75
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:76-89
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:90-103
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:104-115
Learning the dynamics of autonomous nonlinear delay systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:116-127
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:128-141
Learning Trust Over Directed Graphs in Multiagent Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:142-154
Contrastive Example-Based Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:155-169
DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:170-183
Policy Gradient Play with Networked Agents in Markov Potential Games
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:184-195
Sample Complexity Bound for Evaluating the Robust Observer’s Performance under Coprime Factors Uncertainty
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:196-207
Learning Robust State Observers using Neural ODEs
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:208-219
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:220-234
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:235-247
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:248-258
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:259-271
Compositional Neural Certificates for Networked Dynamical Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:272-285
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:286-299
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:300-314
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:315-332
Equilibria of Fully Decentralized Learning in Networked Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:333-345
Operator Learning for Nonlinear Adaptive Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:346-357
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:358-370
Efficient Reinforcement Learning Through Trajectory Generation
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:371-382
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:383-394
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:395-406
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:407-419
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:420-430
Targeted Adversarial Attacks against Neural Network Trajectory Predictors
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:431-444
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:445-457
Probabilistic Invariance for Gaussian Process State Space Models
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:458-468
Compositional Learning-based Planning for Vision POMDPs
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:469-482
Certified Invertibility in Neural Networks via Mixed-Integer Programming
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:483-496
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:497-508
Template-Based Piecewise Affine Regression
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:509-520
Physics-enhanced Gaussian Process Variational Autoencoder
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:521-533
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:534-546
Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:547-559
Adaptive Regret for Control of Time-Varying Dynamics
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:560-572
Automatic Integration for Fast and Interpretable Neural Point Processes
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:573-585
Multi-Task Imitation Learning for Linear Dynamical Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:586-599
Accelerating Trajectory Generation for Quadrotors Using Transformers
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:600-611
A finite-sample analysis of multi-step temporal difference estimates
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:612-624
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:625-638
Deep Off-Policy Iterative Learning Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:639-652
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:653-664
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:665-678
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:679-691
Multi-Agent Reinforcement Learning with Reward Delays
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:692-704
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:705-717
Roll-Drop: accounting for observation noise with a single parameter
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:718-730
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:731-744
Learning Object-Centric Dynamic Modes from Video and Emerging Properties
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:745-769
Continuous Versatile Jumping Using Learned Action Residuals
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:770-782
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:783-796
Hierarchical Policy Blending As Optimal Transport
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:797-812
Top-k data selection via distributed sample quantile inference
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:813-824
Model-based Validation as Probabilistic Inference
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:825-837
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:838-850
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:851-863
Distributionally Robust Lyapunov Function Search Under Uncertainty
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:864-877
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:878-890
Data-driven memory-dependent abstractions of dynamical systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:891-902
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:903-914
A Learning and Control Perspective for Microfinance
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:915-927
Physics-Guided Active Learning of Environmental Flow Fields
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:928-940
CT-DQN: Control-Tutored Deep Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:941-953
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:954-965
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:966-979
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:980-992
Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:993-1007
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1008-1019
Competing Bandits in Time Varying Matching Markets
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1020-1031
Regret Guarantees for Online Deep Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1032-1045
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1046-1057
Satellite Navigation and Coordination with Limited Information Sharing
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1058-1071
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1072-1085
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1086-1098
Learning Stability Attention in Vision-based End-to-end Driving Policies
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1099-1111
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1112-1124
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1125-1137
Online switching control with stability and regret guarantees
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1138-1151
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1152-1166
Learning Coherent Clusters in Weakly-Connected Network Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1167-1179
Predictive safety filter using system level synthesis
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1180-1192
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1193-1204
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1205-1217
Learning Locomotion Skills from MPC in Sensor Space
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1218-1230
Probabilistic Symmetry for Multi-Agent Dynamics
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1231-1244
Policy Evaluation in Distributional LQR
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1245-1256
Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1257-1270
Online Estimation of the Koopman Operator Using Fourier Features
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1271-1283
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1284-1296
Model-Based Reinforcement Learning for Cavity Filter Tuning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1297-1307
FedSysID: A Federated Approach to Sample-Efficient System Identification
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1308-1320
Lipschitz constant estimation for 1D convolutional neural networks
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1321-1332
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1333-1344
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1345-1356
Offline Model-Based Reinforcement Learning for Tokamak Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1357-1372
A Dynamical Systems Perspective on Discrete Optimization
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1373-1386
Linear Stochastic Bandits over a Bit-Constrained Channel
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1387-1399
Hybrid Systems Neural Control with Region-of-Attraction Planner
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1400-1415
Online Saddle Point Tracking with Decision-Dependent Data
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1416-1428
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1429-1440
Filter-Aware Model-Predictive Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1441-1454
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1455-1466
DLKoopman: A deep learning software package for Koopman theory
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1467-1479
Benchmarking Rigid Body Contact Models
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1480-1492
Model Predictive Control via On-Policy Imitation Learning
; Proceedings of The 5th Annual Learning for Dynamics and Control Conference, PMLR 211:1493-1505
subscribe via RSS