Paper Citation Record · LEDGER

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

As of 10 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 5 inbound Pith citation observations for arXiv:2502.02133.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02133 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:17:17.830361Z

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One-hop event checks from named stored sources.

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:29:01.297762Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-05-22T21:37:09.010677Z

Reference resolution

100 of 300 outbound references displayed

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External citation measurements

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Outbound references

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Unresolved cited work

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Unresolved cited work

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This paper cites Bertsekas, Reinforcement Learning and Optimal Control , first edition ed.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Bertsekas, Reinforcement Learning and Optimal Control , first edition ed

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Unresolved cited work

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Review on model predictive control: an engineering perspective,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Human-level control through deep reinforcement learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Outracing champion Gran Turismo drivers with deep reinforcement learning,

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This paper cites Relations between Model Predictive Control and Reinforce- ment Learning,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Relations between Model Predictive Control and Reinforce- ment Learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification A Tour of Reinforcement Learning: The View from Contin- uous Control,

Reference 10

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Machine learning for combinato- rial optimization: A methodological tour d’horizon,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Bertsekas, Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Newton’s method for reinforcement learning and model predic- tive control,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Mastering the game of Go without human knowledge,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Learning- based model predictive control: Toward safe learning in control,

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This paper cites Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?

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This paper cites Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Benchmarking Model-Based Reinforcement Learning

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Unresolved cited work

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Dynamic programming,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Q-learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Simple statistical gradient-following algorithms for connectionist reinforcement learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Deterministic policy gradient algorithms,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Addressing function approximation error in actor-critic methods,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Revisiting the Gumbel-Softmax in MADDPG

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Efficient BackProp,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Continuous control with deep reinforcement learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Proximal Policy Optimization Algorithms

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Trust Region Policy Optimization

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification High- Dimensional Continuous Control Using Generalized Advantage Esti- 29 mation

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Mirror learning: A unifying framework of policy optimisation,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Soft Actor-Critic Algorithms and Applications

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Maximum entropy inverse reinforcement learning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification OffCon3: What is state of the art anyway?

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Maximum Entropy RL (Provably) Solves Some Robust RL Problems

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Essentially Sharp Estimates on the Entropy Regularization Error in Discounted Markov Decision Processes,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Gr ¨une and J

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Economic receding horizon control without terminal constraints,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Stabilizing Receding- Horizon control of nonlinear time varying systems,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Stabilizing nonlinear receding horizon control via a nonquadratic terminal state penalty,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Online NMPC of a looping kite using approximate infinite horizon closed loop costing,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Efficient NMPC of unstable periodic systems using approximate infinite horizon closed loop costing,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Nocedal and S

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust Constraint Satisfaction: Invariant Sets and Predictive Control,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Model predictive control with discrete actuators: Theory and application,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Stochastic Model Predictive Control: An Overview and Perspectives for Future Research,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Kouvaritakis and M

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Shapiro, D

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification The Scenario Approach to Robust Control Design,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust model predictive control using tubes,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Tube-based robust nonlinear model predictive control,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Neural network dynamics for model-based deep reinforcement learning with model- free fine-tuning,

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification A dual Newton strategy for tree-sparse quadratic programs and its implementation in the open-source software treeQP,

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Reference 60

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust Optimization of Dynamic Systems,

Reference 61

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification A Positive Definiteness Preserving Discretization Method for nonlinear Lyapunov Differential Equations,

Reference 62

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust MPC via min-max differential inequalities,

Reference 63

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Parameterized Tube Model Predictive Control,

Reference 64

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust Model Predictive Control,

Reference 65

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Robust Tube MPC for Linear Systems With Multiplicative Uncertainty,

Reference 66

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Homothetic Tube Model Predictive Control for Nonlinear Systems,

Reference 67

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Configuration- Constrained Tube MPC,

Reference 68

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Ad- justable robust solutions of uncertain linear programs,

Reference 69

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification A receding-horizon regulator for nonlinear systems and a neural approximation,

Reference 70

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Open-loop and closed-loop robust optimal control of batch processes using distributional and worst-case analysis,

Reference 71

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification An Efficient Algorithm for Tube-based Robust Nonlinear Optimal Control with Optimal Linear Feedback,

Reference 72

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Optimization over state feedback policies for robust control with constraints,

Reference 73

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Min-max feedback model predictive control for constrained linear systems,

Reference 74

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Formulation of Closed Loop Min-Max MPC as a Quadrati- cally Constrained Quadratic Program,

Reference 75

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Mixed-integer optimization-based planning for autonomous racing with obstacles and rewards,

Reference 76

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Numerical Methods for Optimal Control of Nonsmooth Dynamical Systems,

Reference 77

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Dynamic Programming and Suboptimal Control: A Survey from {ADP} to {MPC}*,

Reference 78

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification On the infinite horizon performance of receding horizon controllers,

Reference 79

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control,

Reference 80

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond,

Reference 81

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification An Efficient Method to Estimate the Suboptimality of Affine Controllers,

Reference 82

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Stochastic Control for Small Noise Intensities,

Reference 83

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty,

Reference 84

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This paper cites Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity,

Reference 85

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This paper cites A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability,

Reference 86

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Con- strained model predictive control: Stability and optimality,

Reference 87

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control,

Reference 88

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification NMPC without terminal constraints,

Reference 89

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Oops! I cannot do it again: Testing for recursive feasibility in MPC,

Reference 90

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification An apologia for stabilising terminal conditions in model predictive control,

Reference 91

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Discrete-time Stability with Perturbations: Application to Model Predictive Control,

Reference 92

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification On the Robustness of Receding-Horizon Control with Terminal Constraints,

Reference 93

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Stability margins of nonlinear receding- horizon control via inverse optimality,

Reference 94

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This paper cites Inherent Stochastic Robustness of Model Predictive Control to Large and Infrequent Disturbances,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Inherent Stochastic Robustness of Model Predictive Control to Large and Infrequent Disturbances,

Reference 95

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This paper cites Examples when nonlinear model predictive control is nonrobust,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Examples when nonlinear model predictive control is nonrobust,

Reference 96

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This paper cites Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control,

Reference 97

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This paper cites On the Inherent Distributional Robustness of Stochastic and Nominal Model Predictive Control,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification On the Inherent Distributional Robustness of Stochastic and Nominal Model Predictive Control,

Reference 98

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Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Suboptimal Model Predictive Control (Feasibility Implies Stability),

Reference 99

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This paper cites Nominal Stability of the Real-Time Iteration Scheme for Nonlinear Model Predictive Control,.

Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Nominal Stability of the Real-Time Iteration Scheme for Nonlinear Model Predictive Control,

Reference 100

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Rollout Then Optimize: A One-Step Newton Refinement of Learned Policies for Nonlinear Model Predictive Control Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

Reference 3

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Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

Reference 155

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Reference-Free Iterative Learning Model Predictive Control with Neural Certificates Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

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Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

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Bridging Reinforcement Learning and Optimal Control via Feasible Action Mapping Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

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