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Volume 242: 6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK
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Editors: Alessandro Abate, Mark Cannon, Kostas Margellos, Antonis Papachristodoulou
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1-12
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Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:13-24
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Gradient shaping for multi-constraint safe reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:25-39
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Continual learning of multi-modal dynamics with external memory
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:40-51
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Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:52-67
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An investigation of time reversal symmetry in reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:68-79
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HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:80-91
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Real-time safe control of neural network dynamic models with sound approximation
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:92-103
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Tracking object positions in reinforcement learning: A metric for keypoint detection
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:104-116
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Linearised data-driven LSTM-based control of multi-input HVAC systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:117-129
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The behavioral toolbox
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:130-141
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Learning “look-ahead” nonlocal traffic dynamics in a ring road
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:142-154
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Safe dynamic pricing for nonstationary network resource allocation
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:155-167
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Safe online convex optimization with multi-point feedback
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:168-180
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Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:181-196
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On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:197-208
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Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:209-221
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Interpretable data-driven model predictive control of building energy systems using SHAP
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:222-234
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Physics-informed Neural Networks with Unknown Measurement Noise
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:235-247
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Adaptive online non-stochastic control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:248-259
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Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:260-272
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Soft convex quantization: revisiting Vector Quantization with convex optimization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:273-285
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Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:286-298
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Minimax dual control with finite-dimensional information state
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:299-311
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An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:312-323
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Adapting image-based RL policies via predicted rewards
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:324-336
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Piecewise regression via mixed-integer programming for MPC
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:337-348
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Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:349-360
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$\widetilde{O}(T^{-1})$ Convergence to (coarse) correlated equilibria in full-information general-sum Markov games
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:361-374
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Inverse optimal control as an errors-in-variables problem
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:375-386
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Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:387-398
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MPC-inspired reinforcement learning for verifiable model-free control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:399-413
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Real-world fluid directed rigid body control via deep reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:414-427
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On the uniqueness of solution for the Bellman equation of LTL objectives
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:428-439
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Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:440-452
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Understanding the difficulty of solving Cauchy problems with PINNs
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:453-465
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Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:466-479
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Online decision making with history-average dependent costs
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:480-491
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Learning-based rigid tube model predictive control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:492-503
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A data-driven Riccati equation
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:504-513
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Nonconvex scenario optimization for data-driven reachability
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:514-527
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Uncertainty quantification and robustification of model-based controllers using conformal prediction
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:528-540
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Learning for CasADi: Data-driven Models in Numerical Optimization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:541-553
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Neural operators for boundary stabilization of stop-and-go traffic
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:554-565
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Submodular information selection for hypothesis testing with misclassification penalties
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:566-577
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Learning and deploying robust locomotion policies with minimal dynamics randomization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:578-590
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Learning flow functions of spiking systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:591-602
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Safe learning in nonlinear model predictive control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:603-614
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Efficient skill acquisition for insertion tasks in obstructed environments
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:615-627
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Balanced reward-inspired reinforcement learning for autonomous vehicle racing
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:628-640
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An invariant information geometric method for high-dimensional online optimization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:641-653
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On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:654-666
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Data-driven robust covariance control for uncertain linear systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:667-678
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Combining model-based controller and ML advice via convex reparameterization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:679-693
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Pointwise-in-time diagnostics for reinforcement learning during training and runtime
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:694-706
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Expert with clustering: Hierarchical online preference learning framework
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:707-718
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Verification of neural reachable tubes via scenario optimization and conformal prediction
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:719-731
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Random features approximation for control-affine systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:732-744
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Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:745-757
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Rademacher complexity of neural ODEs via Chen-Fliess series
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:758-769
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Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:770-783
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Learning $\epsilon$-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:784-795
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Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:796-812
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Improving sample efficiency of high dimensional Bayesian optimization with MCMC
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:813-824
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SpOiLer: Offline reinforcement learning using scaled penalties
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:825-838
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Towards safe multi-task Bayesian optimization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:839-851
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Mixing classifiers to alleviate the accuracy-robustness trade-off
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:852-865
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Design of observer-based finite-time control for inductively coupled power transfer system with random gain fluctuations
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:866-875
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Learning robust policies for uncertain parametric Markov decision processes
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:876-889
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Conditions for parameter unidentifiability of linear ARX systems for enhancing security
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:890-901
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Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:902-915
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A large deviations perspective on policy gradient algorithms
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:916-928
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Deep model-free KKL observer: A switching approach
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:929-940
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In vivo learning-based control of microbial populations density in bioreactors
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:941-953
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Bounded robustness in reinforcement learning via lexicographic objectives
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:954-967
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System-level safety guard: Safe tracking control through uncertain neural network dynamics models
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:968-979
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Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:980-992
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Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:993-1005
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Parameterized fast and safe tracking (FaSTrack) using DeepReach
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1006-1017
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Probabilistic ODE solvers for integration error-aware numerical optimal control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1018-1032
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Event-triggered safe Bayesian optimization on quadcopters
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1033-1045
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Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1046-1057
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Convergence guarantees for adaptive model predictive control with kinky inference
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1058-1070
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Convex approximations for a bi-level formulation of data-enabled predictive control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1071-1082
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PDE control gym: A benchmark for data-driven boundary control of partial differential equations
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1083-1095
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Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1096-1106
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Residual learning and context encoding for adaptive offline-to-online reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1107-1121
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CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1122-1135
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Stable modular control via contraction theory for reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1136-1148
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Data-driven bifurcation analysis via learning of homeomorphism
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1149-1160
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A learning-based framework to adapt legged robots on-the-fly to unexpected disturbances
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1161-1173
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On task-relevant loss functions in meta-reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1174-1186
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State-wise safe reinforcement learning with pixel observations
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1187-1201
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Multi-agent assignment via state augmented reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1202-1213
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PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1214-1227
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Mapping back and forth between model predictive control and neural networks
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1228-1240
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A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1241-1252
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Towards model-free LQR control over rate-limited channels
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1253-1265
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Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1266-1277
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Safety filters for black-box dynamical systems by learning discriminating hyperplanes
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1278-1291
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Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1292-1304
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From raw data to safety: Reducing conservatism by set expansion
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1305-1317
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Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1318-1329
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Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1330-1342
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Multi-modal conformal prediction regions by optimizing convex shape templates
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1343-1356
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Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1357-1369
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How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1370-1387
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Convex neural network synthesis for robustness in the 1-norm
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1388-1399
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Increasing information for model predictive control with semi-Markov decision processes
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1400-1414
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Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1415-1426
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STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1427-1439
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Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1440-1451
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CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1452-1463
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Multi-agent coverage control with transient behavior consideration
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1464-1476
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Data driven verification of positive invariant sets for discrete, nonlinear systems
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1477-1488
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Adaptive teaching in heterogeneous agents: Balancing surprise in sparse reward scenarios
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1489-1501
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Can a transformer represent a Kalman filter?
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1502-1512
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Data-driven simulator for mechanical circulatory support with domain adversarial neural process
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1513-1525
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DC4L: Distribution shift recovery via data-driven control for deep learning models
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1526-1538
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QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1539-1551
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A deep learning approach for distributed aggregative optimization with users’ Feedback
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1552-1564
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A framework for evaluating human driver models using neuroimaging
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1565-1578
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Deep Hankel matrices with random elements
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1579-1591
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Robust exploration with adversary via Langevin Monte Carlo
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1592-1605
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Generalized constraint for probabilistic safe reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1606-1618
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Neural processes with event triggers for fast adaptation to changes
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1619-1632
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Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1633-1645
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Growing Q-networks: Solving continuous control tasks with adaptive control resolution
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1646-1661
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Hamiltonian GAN
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1662-1674
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Do no harm: A counterfactual approach to safe reinforcement learning
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1675-1687
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Wasserstein distributionally robust regret-optimal control over infinite-horizon
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1688-1701
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Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1702-1714
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Reinforcement learning-driven parametric curve fitting for snake robot gait design
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1715-1727
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Pontryagin neural operator for solving general-sum differential games with parametric state constraints
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1728-1740
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Adaptive neural network based control approach for building energy control under changing environmental conditions
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1741-1752
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Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1753-1764
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Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1765-1776
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Efficient imitation learning with conservative world models
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1777-1790
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Restless bandits with rewards generated by a linear Gaussian dynamical system
; Proceedings of the 6th Annual Learning for Dynamics & Control Conference, PMLR 242:1791-1802
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