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Volume 331: Annual Learning for Dynamics and Control Conference, 17-19 June 2026, Los Angeles, California, USA
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Editors: Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, Nikolay Atanasov
Oral
Flickering Multi-Armed Bandits
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1-70
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:71-97
Model-Based Reinforcement Learning under Random Observation Delays
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:98-116
Adapting World Models with Latent-State Dynamics Residuals
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:117-144
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:145-168
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:169-182
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:183-195
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:196-208
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:209-221
Learning to Solve Constrained Bilevel Control Co-Design Problems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:222-241
ACE: Adapting sampling for Counterfactual Explanations
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:242-264
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:265-281
Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:282-298
Zero-Shot Function Encoder-Based Differentiable Predictive Control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:299-315
Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:316-345
Kernel-Based Safe Exploration in Deep Reinforcement Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:346-366
Poster
A Unified Framework for Locality in Scalable MARL
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:367-396
BGCL:Learning Constitutive Laws for System Identification
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:397-411
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:412-439
HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincaré Maps, and Regions of Attraction
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:440-459
Realistic Internal Dynamics Are Essential for Human-Like Control: An Optimal Feedback Control Perspective
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:460-471
Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:472-483
Precise Performance of Linear Denoisers in The Proportional Regime
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:484-510
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:511-531
Active Constraint Learning in High Dimensions from Demonstrations
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:532-556
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:557-573
GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:574-588
Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:589-600
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:601-623
Improving EV Aggregate Flexibility with End-to-End Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:624-639
BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:640-661
Warm-starting active-set solvers using graph neural networks
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:662-677
Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:678-704
TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:705-736
Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:737-760
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:761-787
Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:788-808
Workflow Search Reinforcement Learning over Structured Decompositions
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:809-832
Safe Control using Learned Safety Filters and Adaptive Conformal Inference
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:833-847
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:848-871
Online Adaptive Probabilistic Safety Certificate with Language Guidance
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:872-903
Offline Reinforcement Learning for Rotation Profile Control in Tokamaks
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:904-924
Online Caching in Tree Networks: Algorithms, Regret, and Complexity
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:925-952
Optimizing Coordination among Bounded Rational Agents
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:953-964
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:965-981
Certified Robust Invariant Polytope Training in Neural Controlled ODEs
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:982-999
OffRIPP: Offline RL-based Informative Path Planning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1000-1011
An accelerated proximal bundle method for convex optimization
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1012-1034
Differentiable Filtering for Learning Hidden Markov Models
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1035-1054
A Hybrid Learning-to-Optimize Framework for Mixed-Integer Quadratic Programming
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1055-1069
Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1070-1087
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1088-1107
Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1108-1120
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1121-1133
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1134-1156
Optimal control of the future via prospective learning with control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1157-1180
TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1181-1198
Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1199-1211
Formalizing Task-Space Complexity for Zero-Shot Generalization
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1212-1228
The PID Controller Strikes Back: Classical Controller Helps Mitigate Barren Plateaus in Noisy Variational Quantum Circuits
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1229-1242
A Robust Task-Level Control Architecture for Learned Dynamical Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1243-1259
Learned Incremental Nonlinear Dynamic Inversion for Quadrotors with and without Slung Payloads
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1260-1274
Policy Optimization for Unknown Systems using Differentiable MPC
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1275-1287
Provably Safe Stein Variational Clarity-Aware Informative Planning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1288-1305
Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1306-1321
Physics-Informed Neural Operators for Cardiac Electrophysiology
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1322-1338
Data-driven Acceleration of MPC with Guarantees
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1339-1362
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1363-1381
ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1382-1395
PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1396-1417
MATT-Diff: Multimodal Active Target Tracking by Diffusion Policy
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1418-1431
Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1432-1446
PG-BIG: Personalized Guidance for Biomechanically Informed Generative Models in Exercise Science
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1447-1469
Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1470-1482
Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1483-1511
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1512-1541
Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1542-1557
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1558-1574
Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1575-1600
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1601-1619
Latent Linear Quadratic Regulator for Robotic Control Tasks
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1620-1637
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1638-1662
Topological Dynamics via Learned Hybrid Systems
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1663-1674
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1675-1693
On the Exponential Stability of Koopman Model Predictive Control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1694-1712
Instrumental variables system identification with $L^p$ consistency
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1713-1740
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1741-1790
Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1791-1803
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1804-1817
Adversarially Robust Multitask Adaptive Control
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1818-1856
Learning Quantized Continuous Controllers for Integer Hardware
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1857-1874
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1875-1894
Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1895-1915
Balance Equation-based Distributionally Robust Offline Imitation Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1916-1938
Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1939-1953
Misinformation Mitigation over Social Networks: a Control Approach
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1954-1965
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1966-1980
Learning Multi-Robot Coordination with Invariant Consensus Stabilization
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1981-1994
Learning to accelerate distributed ADMM using graph neural networks
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:1995-2020
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrtT$-Regret
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2021-2108
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2109-2122
Learning Nonholonomic Dynamics with Constraint Discovery
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2123-2137
Online Subspace Learning on Flag Manifolds for System Identification
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2138-2150
Subgradient Method for System Identification with Non-Smooth Objectives
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2151-2170
Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2171-2206
Central Limit Theorems for Asynchronous Averaged Q-Learning
; Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR 331:2207-2230
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