Co-occurring keywords · papers mentioning both
Papers
Learning Optimal Feedback Operators and their Sparse Polynomial Approximations
JMLR 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
ICML 2023
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
CoRL 2023
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
ICML 2023
Model Predictive Control with Reach-avoid Analysis
IJCAI 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
ICML 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
L4DC 2023
Online Control for Meta-optimization
NeurIPS 2023
Online Reinforcement Learning in Stochastic Continuous-Time Systems
COLT 2023
Optimal control of speech with context-dependent articulatory targets
Interspeech 2023
Optimal Rates for Bandit Nonstochastic Control
NeurIPS 2023
Optimistic Active Exploration of Dynamical Systems
NeurIPS 2023
PROTES: Probabilistic Optimization with Tensor Sampling
NeurIPS 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints
JMLR 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
NeurIPS 2023
Solving Stabilize-Avoid via Epigraph Form Optimal Control using Deep Reinforcement Learning
RSS 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
ACL 2023
Time Optimal Ergodic Search
RSS 2023
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective
L4DC 2022
Admissible Policy Teaching through Reward Design
AAAI 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
RSS 2022
Collocation Methods for Second Order Systems
RSS 2022
Confident Approximate Policy Iteration for Efficient Local Planning in q^π-realizable MDPs
NeurIPS 2022
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
NeurIPS 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings
L4DC 2022