conftrace_

optimal control

251 papers

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OC

Co-occurring keywords · papers mentioning both

reinforcement learning (47) model predictive control (21) regret bound (16) neural network (16) markov decision process (15) model-based reinforcement learning (15) linear quadratic regulator (15) dynamical system (14) motion planning (14) trajectory optimization (13)

Papers

Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability L4DC 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations ICLR 2025 Training Free Guided Flow-Matching with Optimal Control ICLR 2025 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems L4DC 2024 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 Can a transformer represent a Kalman filter? L4DC 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 Efficient Variational Sequential Information Control AISTATS 2024 FineMorphs: Affine-Diffeomorphic Sequences for Regression JMLR 2024 Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions RSS 2024 How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective ICML 2024 Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Mapping back and forth between model predictive control and neural networks L4DC 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Neural Time-Reversed Generalized Riccati Equation AAAI 2024 On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up L4DC 2024 Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024