conftrace_

optimal control

218 papers

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OC

Co-occurring keywords

reinforcement learning (4352) model predictive control (174) markov decision process (790) regret bound (1926) model-based reinforcement learning (415) motion planning (385) dynamical system (398) neural network (6616) trajectory optimization (133) linear quadratic regulator (56)

Papers

Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit AAAI 2026
Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations AAAI 2026
Fairness Shields: Safeguarding against Biased Decision Makers AAAI 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis RSS 2025
An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems L4DC 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024
Neural Time-Reversed Generalized Riccati Equation AAAI 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024
Parameterized fast and safe tracking (FaSTrack) using DeepReach L4DC 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024
Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
FineMorphs: Affine-Diffeomorphic Sequences for Regression JMLR 2024
On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up L4DC 2024
DiffPhyCon: A Generative Approach to Control Complex Physical Systems NIPS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024
Efficient Variational Sequential Information Control AISTATS 2024
A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024
Can a transformer represent a Kalman filter? L4DC 2024
Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024
Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024