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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

Accelerating Quadratic Optimization with Reinforcement Learning NeurIPS 2021 Approximate Midpoint Policy Iteration for Linear Quadratic Control L4DC 2021 CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models AAAI 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Dynamic Game Theoretic Neural Optimizer ICML 2021 Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NeurIPS 2021 Generalized Comprehensive Motion Theory for High-Order Differential Dynamics RSS 2021 Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021 HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing RSS 2021 How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Logistic Q-Learning AISTATS 2021 Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021 Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories RSS 2021 Regret-optimal measurement-feedback control L4DC 2021 Safe Pontryagin Differentiable Programming NeurIPS 2021