Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control | Paper Citation Record

Observation a124844a-0dc8-42f6-8670-f057068dc250 · outbound

This paper cites Model-based generalization under parameter uncertainty using path integral control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Model-based generalization under parameter uncertainty using path integral control

Reference 1

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Observation fac9a4c7-a0d2-4f5c-8836-0cfea4c688d3 · outbound

This paper cites Entropic value-at-risk: A new coherent risk measure.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Entropic value-at-risk: A new coherent risk measure

Reference 2

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Observation 42d87b4d-d594-4734-8283-5bae0d5feec9 · outbound

This paper cites Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control

Reference 3

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Observation 231dd567-e65a-4e82-8de4-89d36b46d67b · outbound

This paper cites Stability analysis for prioritized closed-loop inverse kinematic algorithms for redundant robotic systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stability analysis for prioritized closed-loop inverse kinematic algorithms for redundant robotic systems

Reference 4

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Observation 7ec86d6c-769d-4581-ab7b-adf4e5f39a36 · outbound

This paper cites The null-space-based behavioral control for autonomous robotic systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control The null-space-based behavioral control for autonomous robotic systems

Reference 5

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Observation 97d0243e-7916-41d1-9adf-2c72aa9928af · outbound

This paper cites Prioritized closed-loop inverse kinematic algorithms for redundant robotic systems with velocity saturations.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Prioritized closed-loop inverse kinematic algorithms for redundant robotic systems with velocity saturations

Reference 6

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Observation beaf196e-3525-4ad0-853d-4972458a9502 · outbound

This paper cites Information-theoretic stochastic optimal control via incremental sampling-based algorithms.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Information-theoretic stochastic optimal control via incremental sampling-based algorithms

Reference 7

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Observation d674248b-6bd4-4cd0-973c-b2497e99bed6 · outbound

This paper cites Coherent measures of risk.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Coherent measures of risk

Reference 8

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Observation 46f17f5f-cf54-4cbe-b8c9-f6febe79031e · outbound

This paper cites Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Data-injection attacks in stochastic control systems: Detectability and performance tradeoffs

Reference 9

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This paper cites H-infinity optimal control and related minimax design problems: a dynamic game approach.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control H-infinity optimal control and related minimax design problems: a dynamic game approach

Reference 10

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Observation e3df5cd6-82b7-4380-8e26-091cdd6e26ac · outbound

This paper cites Dynamic noncooperative game theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Dynamic noncooperative game theory

Reference 11

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Observation 8736b7af-f93e-4231-9bf5-cc7431e6d123 · outbound

This paper cites Dynamic programming and optimal control: Volume I, volume 1.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Dynamic programming and optimal control: Volume I, volume 1

Reference 12

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Observation 4d1e9df8-66c7-4b1c-94ce-194e6bdb641e · outbound

This paper cites Nonlinear programming.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Nonlinear programming

Reference 13

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Observation 7604fca7-66ad-42e2-8afe-62b0ed222870 · outbound

This paper cites Bertsekas and S.E.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Bertsekas and S.E

Reference 14

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Observation 03dc91eb-67ac-4d7f-b91f-53608f844e7f · outbound

This paper cites Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation

Reference 15

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Observation c374b24f-2c50-4792-b9b5-a66953ea0080 · outbound

This paper cites Chance-constrained optimal path planning with obstacles.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Chance-constrained optimal path planning with obstacles

Reference 16

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Observation b388cb6c-11ca-43c2-a342-b7d7a5c1a319 · outbound

This paper cites Markov processes and potential theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Markov processes and potential theory

Reference 17

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Observation 278ac517-3c02-4a48-9797-cb01bdd68775 · outbound

This paper cites A variational representation for certain functionals of Brownian motion.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control A variational representation for certain functionals of Brownian motion

Reference 18

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Observation 3278939c-c5b6-4ed7-a2b8-d96d71250372 · outbound

This paper cites Convex optimization.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Convex optimization

Reference 19

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Observation 809f8a0c-ca40-4189-a73e-2b9b7a71f348 · outbound

This paper cites Estimation des densit \'e s: risque minimax.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Estimation des densit \'e s: risque minimax

Reference 20

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Observation 318985cc-7aca-4844-a592-04f684b5dcda · outbound

This paper cites Risk Sensitive Path Integral Control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Risk Sensitive Path Integral Control

Reference 21

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Observation d3be7d60-98da-44c5-bbde-ba5f67313f24 · outbound

This paper cites The scenario approach to robust control design.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control The scenario approach to robust control design

Reference 22

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Observation 57fe8cd1-e75c-46c6-9f7f-de1e9afb1c24 · outbound

This paper cites Constrained stochastic optimal control with learned importance sampling: A path integral approach.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Constrained stochastic optimal control with learned importance sampling: A path integral approach

Reference 23

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Observation b0ad3ed6-c22c-4145-8a86-337479f64984 · outbound

This paper cites Safe control in the presence of stochastic uncertainties.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Safe control in the presence of stochastic uncertainties

Reference 24

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Observation aac7289e-9e9c-4dd5-b775-bff44deafcc7 · outbound

This paper cites Elements of information theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Elements of information theory

Reference 25

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Observation 6745accf-636b-47a3-9c9b-27b583fcd092 · outbound

This paper cites Generalized N eyman- P earson lemma via convex duality.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Generalized N eyman- P earson lemma via convex duality

Reference 26

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Observation 82d9c402-c7ae-461a-9ef7-bb3ce2889b1c · outbound

This paper cites Scenario-based trajectory optimization in uncertain dynamic environments.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Scenario-based trajectory optimization in uncertain dynamic environments

Reference 27

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This paper cites An overview of null space projections for redundant, torque-controlled robots.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control An overview of null space projections for redundant, torque-controlled robots

Reference 28

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This paper cites Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures

Reference 29

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Observation 7134a4ef-c9ca-4910-952c-b795d060b8d0 · outbound

This paper cites Deceptive robot motion: synthesis, analysis and experiments.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Deceptive robot motion: synthesis, analysis and experiments

Reference 30

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Observation 65ec4145-27f8-41bf-ba26-d823c21f3a18 · outbound

This paper cites Probability: theory and examples, volume 49.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Probability: theory and examples, volume 49

Reference 31

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Observation ac20f225-f87d-4a5e-9871-54c45c37bcb6 · outbound

This paper cites Partial differential equations, volume 19.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Partial differential equations, volume 19

Reference 32

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Observation 5e75114d-e055-4e41-b3d1-8d681fe02b52 · outbound

This paper cites Numerical methods for differential games based on partial differential equations.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Numerical methods for differential games based on partial differential equations

Reference 33

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Observation fb38faf5-cbeb-4aa6-9370-ddb35728cf8e · outbound

This paper cites Optimism in reinforcement learning and Kullback-Leibler divergence.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Optimism in reinforcement learning and Kullback-Leibler divergence

Reference 34

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Observation 9d0276a1-c012-486f-8121-1995abc4474e · outbound

This paper cites Controlled Markov processes and viscosity solutions, volume 25.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Controlled Markov processes and viscosity solutions, volume 25

Reference 35

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This paper cites Collision probabilities for continuous-time systems without sampling.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Collision probabilities for continuous-time systems without sampling

Reference 36

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Observation c80e554a-8e0f-4194-9f6d-c2240a3daea2 · outbound

This paper cites Stochastic differential equations and applications, vol.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stochastic differential equations and applications, vol

Reference 37

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This paper cites Numerical treatment of partial differential equations, volume 154.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Numerical treatment of partial differential equations, volume 154

Reference 38

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Observation 6ba2158b-74b8-411e-aa2d-964a9c9d8cbf · outbound

This paper cites Quantization of dynamical systems and stochastic control theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Quantization of dynamical systems and stochastic control theory

Reference 39

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Observation 8ab2c2cf-8910-4938-b3fc-b654b71b9ff4 · outbound

This paper cites Worst-case stealthy innovation-based linear attack on remote state estimation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Worst-case stealthy innovation-based linear attack on remote state estimation

Reference 40

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Observation fd3e19a5-1ed7-45b0-9b95-4400857d0ea0 · outbound

This paper cites Probability inequalities for sums of bounded random variables.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Probability inequalities for sums of bounded random variables

Reference 41

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This paper cites Chance-constrained LQG with bounded control policies.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Chance-constrained LQG with bounded control policies

Reference 42

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This paper cites Automation-assisted capture-the-flag: A differential game approach.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Automation-assisted capture-the-flag: A differential game approach

Reference 43

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This paper cites Risk conditioned neural motion planning.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Risk conditioned neural motion planning

Reference 44

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This paper cites Differential games: a mathematical theory with applications to warfare and pursuit, control and optimization.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Differential games: a mathematical theory with applications to warfare and pursuit, control and optimization

Reference 45

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This paper cites Optimization of nonlinear control systems based on the principle of superposition (in japanese).

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Optimization of nonlinear control systems based on the principle of superposition (in japanese)

Reference 46

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This paper cites Nonlinear optimal control via M onte- C arlo evaluation of path integrals (in japanese).

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Nonlinear optimal control via M onte- C arlo evaluation of path integrals (in japanese)

Reference 47

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Observation 942db404-3fc2-449b-ac4b-c0a6f2fc1a37 · outbound

This paper cites Kullback-- Leibler control for discrete-time nonlinear systems on continuous spaces.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Kullback-- Leibler control for discrete-time nonlinear systems on continuous spaces

Reference 48

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This paper cites Kullback-leibler control for discrete-time nonlinear systems on continuous spaces, 2022 b.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Kullback-leibler control for discrete-time nonlinear systems on continuous spaces, 2022 b

Reference 49

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This paper cites Optimal stochastic linear systems with exponential performance criteria and their relation to deterministic differential games.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Optimal stochastic linear systems with exponential performance criteria and their relation to deterministic differential games

Reference 50

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This paper cites Convex risk bounded continuous-time trajectory planning in uncertain nonconvex environments.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Convex risk bounded continuous-time trajectory planning in uncertain nonconvex environments

Reference 51

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This paper cites A multilevel approach for stochastic nonlinear optimal control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control A multilevel approach for stochastic nonlinear optimal control

Reference 52

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This paper cites Path integrals and symmetry breaking for optimal control theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Path integrals and symmetry breaking for optimal control theory

Reference 53

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This paper cites Optimal control as a graphical model inference problem.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Optimal control as a graphical model inference problem

Reference 54

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This paper cites Deception in supervisory control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Deception in supervisory control

Reference 55

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This paper cites Exploiting partial observability for optimal deception.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Exploiting partial observability for optimal deception

Reference 56

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This paper cites Brownian motion and stochastic calculus, volume 113.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Brownian motion and stochastic calculus, volume 113

Reference 57

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This paper cites Stuxnet worm impact on industrial cyber-physical system security.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stuxnet worm impact on industrial cyber-physical system security

Reference 58

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This paper cites Probabilistic system opacity in discrete event systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Probabilistic system opacity in discrete event systems

Reference 59

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This paper cites A unified approach for motion and force control of robot manipulators: The operational space formulation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control A unified approach for motion and force control of robot manipulators: The operational space formulation

Reference 60

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This paper cites Cyber--physical systems: A perspective at the centennial.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Cyber--physical systems: A perspective at the centennial

Reference 61

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Observation 881cbf7a-3646-4d27-9992-ca1068a0ea6c · outbound

This paper cites Robust constrained model predictive control using linear matrix inequalities.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Robust constrained model predictive control using linear matrix inequalities

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:41.943075Z

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Unavailable: canonical work link unavailable.

Observation ab297b8e-231c-46ba-bb85-08ed78119ec1 · outbound

This paper cites The performance and limitations of epsilon-stealthy attacks on higher order systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control The performance and limitations of epsilon-stealthy attacks on higher order systems

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:41.976944Z

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Observation 1c50355c-3a09-4081-9016-d734ec8b5de0 · outbound

This paper cites Robust receding horizon control using generalized constraint tightening.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Robust receding horizon control using generalized constraint tightening

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.012700Z

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Observation 038bf151-fa33-49a4-b5f0-5801e135c38e · outbound

This paper cites Bandit algorithms.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Bandit algorithms

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.043084Z

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Observation b31f772a-8dfd-451e-a20a-7307c4cb15fe · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.046729Z

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Observation 8120ed2b-676c-424f-81b7-2d650064f767 · outbound

This paper cites A distributionally robust optimization based method for stochastic model predictive control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control A distributionally robust optimization based method for stochastic model predictive control

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.050764Z

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Observation e4f74024-94d6-435a-b0c4-882d5032b31a · outbound

This paper cites Multiagent inverse reinforcement learning for two-person zero-sum games.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Multiagent inverse reinforcement learning for two-person zero-sum games

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.055054Z

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Observation d8f535a3-09d4-4f97-a6a1-c0e26eac6b57 · outbound

This paper cites Adaptive optimal control for stochastic multiplayer differential games using on-policy and off-policy reinforcement learning.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Adaptive optimal control for stochastic multiplayer differential games using on-policy and off-policy reinforcement learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.859132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81307404-0b18-4a08-aa5f-80dde46866d6 · outbound

This paper cites The art of military deception.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control The art of military deception

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.849382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2479d6e2-2fce-465c-8745-892d4d98063f · outbound

This paper cites The optimal finite-sample error probability in asymmetric binary hypothesis testing.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control The optimal finite-sample error probability in asymmetric binary hypothesis testing

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.838818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 054c2dee-f843-45dc-8db6-188baf509f84 · outbound

This paper cites Model predictive path integral control for roll-to-roll manufacturing.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Model predictive path integral control for roll-to-roll manufacturing

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.824733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7819c34d-5cca-4c37-a536-dff799a3df20 · outbound

This paper cites Stochastic game approach for replay attack detection.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stochastic game approach for replay attack detection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.783322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f25280e-38d2-4951-bb8d-5e8597409c7d · outbound

This paper cites Model Predictive Path Integral Control for Agile Unmanned Aerial Vehicles.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Model Predictive Path Integral Control for Agile Unmanned Aerial Vehicles

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.103513Z

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Observation c883bf36-941a-4f38-bd44-981128228e60 · outbound

This paper cites A time-dependent hamilton-jacobi formulation of reachable sets for continuous dynamic games.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control A time-dependent hamilton-jacobi formulation of reachable sets for continuous dynamic games

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.720143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b666655f-f39a-4145-8072-4e01c1de35ee · outbound

This paper cites Chases and escapes.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Chases and escapes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.684035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bfd52021-5275-4c46-9d16-ec7e8e1d0750 · outbound

This paper cites Trajectory optimization for chance-constrained nonlinear stochastic systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Trajectory optimization for chance-constrained nonlinear stochastic systems

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.673609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3ba5afd-6664-43ae-a718-e6e5e4bf7d0b · outbound

This paper cites Derivation of the S chr \"o dinger equation from newtonian mechanics.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Derivation of the S chr \"o dinger equation from newtonian mechanics

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.662913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a68efc1-6dce-4186-a8eb-9b84093d4ae9 · outbound

This paper cites Dynamical theories of Brownian motion, volume 106.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Dynamical theories of Brownian motion, volume 106

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.652765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 543e4958-97f4-49d1-9caf-19ce605e8873 · outbound

This paper cites Convex approximations of chance constrained programs.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Convex approximations of chance constrained programs

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.641953Z

Source-reported events for the cited work

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Observation 561ebb42-7d80-4400-8357-dc36d97bf782 · outbound

This paper cites Convex optimization over sequential linear feedback policies with continuous-time chance constraints.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Convex optimization over sequential linear feedback policies with continuous-time chance constraints

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.562167Z

Source-reported events for the cited work

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Observation 7fef45b0-4d90-4ca8-bf12-6f883ed1de60 · outbound

This paper cites Acceleration of gradient-based path integral method for efficient optimal and inverse optimal control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Acceleration of gradient-based path integral method for efficient optimal and inverse optimal control

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.452215Z

Source-reported events for the cited work

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Observation aee8735b-0166-48dc-86e6-f6add12ba408 · outbound

This paper cites Stochastic differential equations.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stochastic differential equations

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.267798Z

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Observation 946b326a-ff0e-4f76-b25a-2a0e3ce7115c · outbound

This paper cites Stochastic differential equations: an introduction with applications.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Stochastic differential equations: an introduction with applications

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.271854Z

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Observation 75622ad8-f7d0-4804-a709-1b5c2ea19972 · outbound

This paper cites Chance-constrained dynamic programming with application to risk-aware robotic space exploration.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Chance-constrained dynamic programming with application to risk-aware robotic space exploration

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.429387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6088375-304c-4a0c-a760-2146214db8e9 · outbound

This paper cites RRTX : Asymptotically optimal single-query sampling-based motion planning with quick replanning.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control RRTX : Asymptotically optimal single-query sampling-based motion planning with quick replanning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.418876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3810874-3854-45d6-8abf-a0e1ee2b901e · outbound

This paper cites Skill learning and task outcome prediction for manipulation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Skill learning and task outcome prediction for manipulation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.408533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb236c83-0037-4c61-9aec-25e79eda9c7d · outbound

This paper cites Upper bounds for continuous-time end-to-end risks in stochastic robot navigation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Upper bounds for continuous-time end-to-end risks in stochastic robot navigation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.397161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcd73bb6-9736-4607-a446-51837b9a335e · outbound

This paper cites Upper and lower bounds for end-to-end risks in stochastic robot navigation.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Upper and lower bounds for end-to-end risks in stochastic robot navigation

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.320023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fda2af45-ef46-4316-8cbb-6d3b31c91b6c · outbound

This paper cites Chance-constrained stochastic optimal control via path integral and finite difference methods.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Chance-constrained stochastic optimal control via path integral and finite difference methods

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:42.360383Z

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Observation d0e34d01-db18-4b39-8fb9-82e8dd9a4882 · outbound

This paper cites Simulator-driven deceptive control via path integral approach.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Simulator-driven deceptive control via path integral approach

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.302029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87eaa33f-634b-4d88-b666-8bb9694c6205 · outbound

This paper cites Risk-minimizing two-player zero-sum stochastic differential game via path integral control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Risk-minimizing two-player zero-sum stochastic differential game via path integral control

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.244451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7ef2f3d-350b-4483-99fd-d6182d66f620 · outbound

This paper cites Discrete-time stochastic lqr via path integral control and its sample complexity analysis.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Discrete-time stochastic lqr via path integral control and its sample complexity analysis

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.195953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3367d21-1069-4b1f-a670-b06104126408 · outbound

This paper cites An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.185330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f566573-1668-45b6-86c2-91829b1bf20d · outbound

This paper cites Minimax optimal control of stochastic uncertain systems with relative entropy constraints.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Minimax optimal control of stochastic uncertain systems with relative entropy constraints

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.169619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e52ad9f-a0c2-43ce-ba6d-8eda2c9af97f · outbound

This paper cites Linear reinforcement learning in planning, grid fields, and cognitive control.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Linear reinforcement learning in planning, grid fields, and cognitive control

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.114503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d928b3d-bcc0-40f5-9be7-25709a771f2f · outbound

This paper cites Lecture notes on information theory.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Lecture notes on information theory

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.102243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f3b7fc4-986d-4ce4-a9de-0e045088712a · outbound

This paper cites Special issue on cyber-physical systems [scanning the issue].

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Special issue on cyber-physical systems [scanning the issue]

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.050803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b663afa-b651-4861-80eb-087a5d93b476 · outbound

This paper cites Competitive policy optimization.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Competitive policy optimization

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:45.000530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8be12a75-4bad-471a-8e0f-998b6b580285 · outbound

This paper cites Boole- B onferroni inequalities and linear programming.

Advancing Frontiers of Path Integral Theory for Stochastic Optimal Control Boole- B onferroni inequalities and linear programming

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:44.989306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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