Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems | Paper Citation Record

Observation 12beeb41-5165-488a-bf34-0a25ed83928f · outbound

This paper cites Bellman, Dynamic programming.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Bellman, Dynamic programming

Reference 1

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This paper cites Rapidly-exploring random trees: A new tool for path planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Rapidly-exploring random trees: A new tool for path planning,

Reference 2

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This paper cites Probabilistic roadmaps for path planning in high-dimensional configuration spaces,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Probabilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 3

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This paper cites Sampling-based motion planning: A comparative review,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Sampling-based motion planning: A comparative review,

Reference 4

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This paper cites Model predictive control of swarms of spacecraft using sequential convex programming,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Model predictive control of swarms of spacecraft using sequential convex programming,

Reference 5

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This paper cites Convex Optimization for Trajectory Generation.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Convex Optimization for Trajectory Generation

Reference 6

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Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 7

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This paper cites Information-based guidance and control architecture for multi-spacecraft on-orbit inspection,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Information-based guidance and control architecture for multi-spacecraft on-orbit inspection,

Reference 8

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This paper cites Hierarchical task and motion planning in the now,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Hierarchical task and motion planning in the now,

Reference 9

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This paper cites Integrated task and motion planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Integrated task and motion planning,

Reference 10

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Observation 76c3dc60-ced9-413f-bf0b-ae95618bf776 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 11

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Observation 559bc211-4bf4-4892-b6a7-7ca4ede0cfc8 · outbound

This paper cites Planning and decision-making for autonomous vehicles,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Planning and decision-making for autonomous vehicles,

Reference 12

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Observation 214644f6-d1fe-4838-a100-32ab4ec73bd3 · outbound

This paper cites Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,

Reference 13

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Observation 9810f815-2d6d-47e6-98ec-6fdece09edaf · outbound

This paper cites An application of reinforcement learning to aerobatic helicopter flight,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems An application of reinforcement learning to aerobatic helicopter flight,

Reference 14

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Observation ec167364-bd4e-47d6-b7bb-b74f620f293e · outbound

This paper cites Deep learning for detecting robotic grasps,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Deep learning for detecting robotic grasps,

Reference 15

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Observation 7676ffd0-cd94-419a-8624-80947c189ca8 · outbound

This paper cites Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot,

Reference 16

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Observation 9335d5db-86c6-4b85-85a3-5fc3f9064eb4 · outbound

This paper cites A sparse sampling algorithm for near-optimal planning in large markov decision processes,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems A sparse sampling algorithm for near-optimal planning in large markov decision processes,

Reference 17

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Observation 9bf2a5a5-dacc-4038-8171-c3190eea2bae · outbound

This paper cites Bandit based monte-carlo planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Bandit based monte-carlo planning,

Reference 18

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Observation d1d47ce9-3235-4ab8-b5ae-24d22344ad00 · outbound

This paper cites From bandits to monte-carlo tree search: The optimistic principle applied to optimization and planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems From bandits to monte-carlo tree search: The optimistic principle applied to optimization and planning,

Reference 19

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Observation 8a16153c-03bf-4bd5-97e3-c47907360ba9 · outbound

This paper cites A survey of monte carlo tree search methods,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems A survey of monte carlo tree search methods,

Reference 20

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Observation 7f6e1d6f-4f8a-4cdc-b86f-b371e332eb42 · outbound

This paper cites The traveling-salesman problem,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems The traveling-salesman problem,

Reference 21

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Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 22

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Reference 23

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Observation 2c020631-323a-493a-99ab-5a647325a44c · outbound

This paper cites Asteroid redirect mission reference concept.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Asteroid redirect mission reference concept

Reference 24

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Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 25

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Observation d6c02ee0-07c2-425d-a437-d460563ba732 · outbound

This paper cites Continuous upper confidence trees,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Continuous upper confidence trees,

Reference 26

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Observation a2042198-91ba-471a-a74d-f197c329fec1 · outbound

This paper cites Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo

Reference 27

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Observation ce267535-efaf-4924-bbff-95bb62f79e91 · outbound

This paper cites ApS, MOSEK Fusion for C++ 10.1.21 , 2019.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems ApS, MOSEK Fusion for C++ 10.1.21 , 2019

Reference 28

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This paper cites Time-optimal planning for quadrotor waypoint flight,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Time-optimal planning for quadrotor waypoint flight,

Reference 29

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Observation 8cf424aa-03ac-4798-b357-d1e848ea7efc · outbound

This paper cites Autonomous in-orbit satellite assembly from a modular heterogeneous swarm,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Autonomous in-orbit satellite assembly from a modular heterogeneous swarm,

Reference 30

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Observation 480fb432-56c0-448d-bd4b-1b00ab8e6fd9 · outbound

This paper cites 3d dynamic walking with underactuated humanoid robots: A direct collocation framework for optimizing hybrid zero dynamics,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems 3d dynamic walking with underactuated humanoid robots: A direct collocation framework for optimizing hybrid zero dynamics,

Reference 31

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Observation 465401e6-39e9-498f-89d3-dcbbddb362d8 · outbound

This paper cites Swarm assignment and trajectory op- timization using variable-swarm, distributed auction assignment and sequential convex programming,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Swarm assignment and trajectory op- timization using variable-swarm, distributed auction assignment and sequential convex programming,

Reference 32

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Observation 1515effa-c4ab-4459-8657-ec07391afac8 · outbound

This paper cites Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment,

Reference 33

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Observation f7d4a788-9245-471c-8e52-f20740c64dca · outbound

This paper cites A second-order gradient method for determining optimal trajectories of non-linear discrete-time systems,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems A second-order gradient method for determining optimal trajectories of non-linear discrete-time systems,

Reference 34

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Observation 0a8e81c4-028b-4b13-9eaa-cbe82f23239e · outbound

This paper cites A direct multiple shooting method for real-time optimiza- tion of nonlinear dae processes,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems A direct multiple shooting method for real-time optimiza- tion of nonlinear dae processes,

Reference 35

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Observation 5761afbe-6bf6-49c3-83e7-7a48bfa9155e · outbound

This paper cites Iterative linear quadratic regulator design for nonlinear biological movement systems,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Iterative linear quadratic regulator design for nonlinear biological movement systems,

Reference 36

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Observation 9ea0b4f3-3d4d-43af-95e8-c796c1246696 · outbound

This paper cites Local convergence of sequential convex programming for nonconvex optimization,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Local convergence of sequential convex programming for nonconvex optimization,

Reference 37

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Observation b9067a2d-815a-4a11-a0ba-347c20441059 · outbound

This paper cites Gusto: Guaranteed sequential trajectory optimization via sequential convex programming,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Gusto: Guaranteed sequential trajectory optimization via sequential convex programming,

Reference 38

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Observation 3d21152f-1534-444e-8f33-3a749fb7ab71 · outbound

This paper cites The Open Motion Planning Library,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems The Open Motion Planning Library,

Reference 39

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Observation 26dfea5c-b173-4ed8-93e3-b1d4a229fd39 · outbound

This paper cites Motion planning around obstacles with convex optimization,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Motion planning around obstacles with convex optimization,

Reference 40

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Observation 441c56da-94fa-4dba-9a18-15bcbcfbd4ec · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Sampling-based algorithms for optimal motion planning,

Reference 41

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Observation dac793c7-bb6e-4691-a738-d7764bb97d3b · outbound

This paper cites Asymptotically optimal sampling-based kinodynamic planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Asymptotically optimal sampling-based kinodynamic planning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.654901Z

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Observation 902c66b0-01b9-4bbd-96cd-13a3f6eb4c6c · outbound

This paper cites Poccia, Deterministic sampling-based algorithms for motion planning under differential constraints.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Poccia, Deterministic sampling-based algorithms for motion planning under differential constraints

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.630671Z

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Observation 993de114-713f-4e00-afc4-96bf4b6b5f42 · outbound

This paper cites db-a*: Discontinuity-bounded search for kinodynamic mobile robot motion planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems db-a*: Discontinuity-bounded search for kinodynamic mobile robot motion planning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.597957Z

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Observation 06eab270-6799-4d01-aa9e-d6e3a2a69cf6 · outbound

This paper cites Real-time motion planning for agile autonomous vehicles,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Real-time motion planning for agile autonomous vehicles,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.574139Z

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Observation d3b74645-961b-405d-912f-c752a2ee7175 · outbound

This paper cites Maneuver-based motion planning for nonlinear systems with sym- metries,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Maneuver-based motion planning for nonlinear systems with sym- metries,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.552795Z

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Observation 40b77c70-914e-4bc8-a305-0d270a4b7e0d · outbound

This paper cites Dynamic movement primitives in robotics: A tutorial survey,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Dynamic movement primitives in robotics: A tutorial survey,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.528297Z

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Observation 227da17c-1282-44e9-8678-4ee9daf989d7 · outbound

This paper cites Optimal sampling-based motion planning under differential con- straints: the drift case with linear affine dynamics,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Optimal sampling-based motion planning under differential con- straints: the drift case with linear affine dynamics,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.508049Z

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Observation ed32464f-16aa-46fa-babb-526e0f274d2a · outbound

This paper cites Lqr-trees: Feedback motion planning on sparse randomized trees,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Lqr-trees: Feedback motion planning on sparse randomized trees,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.480387Z

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Observation 032864e7-2911-4aa2-b30b-d8ae59e0d86c · outbound

This paper cites Funnel libraries for real-time robust feedback motion planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Funnel libraries for real-time robust feedback motion planning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.444913Z

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Observation 22a13945-b514-48f7-8d77-a493af4ede60 · outbound

This paper cites Optimal kinodynamic motion planning using incremental sampling-based meth- ods,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Optimal kinodynamic motion planning using incremental sampling-based meth- ods,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.395537Z

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Observation 623d79b0-6697-4ccb-b68e-b34bdc5e459c · outbound

This paper cites Model-based reinforcement learning: A survey,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Model-based reinforcement learning: A survey,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.364319Z

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Observation e51df170-193c-4a1e-b852-4e634fbbd82c · outbound

This paper cites Continuous upper confidence trees with polynomial exploration– consistency,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Continuous upper confidence trees with polynomial exploration– consistency,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.331634Z

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Observation 656afd06-ce13-4fd5-aad1-bd4b06888247 · outbound

This paper cites Monte-carlo planning in large pomdps,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Monte-carlo planning in large pomdps,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.303360Z

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Observation 506b392c-908f-432e-9934-c1ca4604a7ea · outbound

This paper cites Online algorithms for pomdps with continuous state, action, and observation spaces,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Online algorithms for pomdps with continuous state, action, and observation spaces,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.277882Z

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Observation 1f7a5037-0c52-4b19-b0cf-057e3a34c86b · outbound

This paper cites Bayesian active sensing for fault estimation with belief space tree search,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Bayesian active sensing for fault estimation with belief space tree search,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.252323Z

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Observation ed1ada66-032a-4561-8183-12b07452aa5e · outbound

This paper cites Convergence of monte carlo tree search in simultaneous move games,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Convergence of monte carlo tree search in simultaneous move games,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.221000Z

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Observation 8be28840-cadd-4eb6-bbbc-785f671fe3f6 · outbound

This paper cites Cross-entropy motion planning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Cross-entropy motion planning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.178979Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe83d59d-4a82-4c03-9799-d844b427969e · outbound

This paper cites Aggressive driving with model predictive path integral control,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Aggressive driving with model predictive path integral control,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.151748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9173e5db-cbd1-45af-98fe-f413240aa6e6 · outbound

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

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Storm: An integrated framework for fast joint-space model-predictive control for reactive manipulation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.123716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6829216-9b50-44e4-bf21-4c62f5053dfb · outbound

This paper cites Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:14:10.422859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ad562d0-be56-4380-acae-5725e353e3cb · outbound

This paper cites Despot-alpha: Online pomdp planning with large state and observation spaces.,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Despot-alpha: Online pomdp planning with large state and observation spaces.,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.093397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 156f76d8-7726-48bf-ad88-d8908b0214c2 · outbound

This paper cites Trajectory optimization of chance-constrained nonlinear stochastic systems for motion planning under uncertainty,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Trajectory optimization of chance-constrained nonlinear stochastic systems for motion planning under uncertainty,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.065973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 981ca985-0127-434c-9011-e36dda9d2203 · outbound

This paper cites Planning by incremental dynamic programming,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Planning by incremental dynamic programming,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.038507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1583bf61-5590-4bf7-a222-c8cbe8a88eb8 · outbound

This paper cites An optimal one-way multigrid algorithm for discrete-time stochastic control,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems An optimal one-way multigrid algorithm for discrete-time stochastic control,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:12.001258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0550e732-be30-4e12-8d7b-8b57021336c7 · outbound

This paper cites Variable resolution discretization in optimal control,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Variable resolution discretization in optimal control,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.975617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b334dd2e-7e54-4e51-a7df-71ace0fa2408 · outbound

This paper cites High-dimensional stochastic optimal control using continuous tensor decompositions,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems High-dimensional stochastic optimal control using continuous tensor decompositions,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.947771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e258420a-d66f-4fda-a139-0462bf38d879 · outbound

This paper cites Survey of model-based reinforcement learning: Applications on robotics,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Survey of model-based reinforcement learning: Applications on robotics,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:09.866131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7218c4-9029-480d-97dd-8cf418c4d13a · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Deep reinforcement learning: A brief survey,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.889115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbdbe555-3098-4354-9eb3-589bae2d53f2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Proximal Policy Optimization Algorithms

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:09.879080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81f583e-df5b-4b4a-ae06-97d019416dca · outbound

This paper cites Global convergence of policy gradient methods for the linear quadratic regulator,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Global convergence of policy gradient methods for the linear quadratic regulator,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.865638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf0d40f9-3c73-400a-9bc2-26187158da78 · outbound

This paper cites Global convergence of policy gradient methods to (almost) locally optimal policies,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Global convergence of policy gradient methods to (almost) locally optimal policies,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.819736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1cccf5d4-34d0-45a8-a578-91a1a2fe31a5 · outbound

This paper cites Global optimality guarantees for policy gradient methods,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Global optimality guarantees for policy gradient methods,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.785092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ce73b15-6aef-460b-ad82-db2720e8ddaa · outbound

This paper cites Multimodal probabilistic model-based planning for human-robot interaction,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Multimodal probabilistic model-based planning for human-robot interaction,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.762645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1198ca1a-40a8-4df5-975a-4e9148126dc1 · outbound

This paper cites Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.738417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 783f88e9-fc45-490e-ae7e-f6c3680c02f4 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Model predictive path integral control: From theory to parallel computation,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:09.923519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d341149c-01a3-4e3a-94bd-715e73d88f91 · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.690526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 872a9374-22e7-49a6-a3f7-51e2c9a6311c · outbound

This paper cites Magic: Learning macro-actions for online POMDP planning ,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Magic: Learning macro-actions for online POMDP planning ,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.657777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7beff911-dbbd-4269-b016-8e6d1fc33915 · outbound

This paper cites Markovian state and action abstractions for mdps via hierarchical MCTS,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Markovian state and action abstractions for mdps via hierarchical MCTS,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.618737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50667380-8510-49cb-a5a0-065e4e13a244 · outbound

This paper cites Monte carlo tree search with options for general video game playing,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Monte carlo tree search with options for general video game playing,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.590580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebe08284-3b15-4d4d-a945-b0ce46afc685 · outbound

This paper cites Constrained Hierarchical Monte Carlo Belief-State Planning.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Constrained Hierarchical Monte Carlo Belief-State Planning

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:14:10.356241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f7681a8-1d0d-4476-b654-fe6021ba414a · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Policy gradient methods for reinforcement learning with function approximation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.564555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d5245d8-4b65-4972-951f-8a7f05b1ee0e · outbound

This paper cites Pilco: A model-based and data-efficient approach to policy search,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Pilco: A model-based and data-efficient approach to policy search,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.537251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2677a7ca-c63a-4ec7-985a-a9f5e9e14226 · outbound

This paper cites Guided policy search,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Guided policy search,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.484139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8daa83e2-e7cc-4469-9fa5-b1e17e4dd6b1 · outbound

This paper cites Glas: Global-to-local safe autonomy synthesis for multi-robot motion planning with end-to-end learning,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Glas: Global-to-local safe autonomy synthesis for multi-robot motion planning with end-to-end learning,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.460656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ade34d9d-41cc-4aeb-9cee-f0f4fbac233e · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:14:11.428100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb3ccfd2-92b3-4429-aa06-996eda102674 · outbound

This paper cites Non-asymptotic analysis of monte carlo tree search,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Non-asymptotic analysis of monte carlo tree search,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.401484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 033ece6d-db7c-4f5c-ba1b-a7dca58663f5 · outbound

This paper cites Mastering the game of go without human knowledge,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Mastering the game of go without human knowledge,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.367295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0eab5a67-2d1e-4e60-9ede-869d2e920503 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:14:11.310114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 496908b2-3306-4f14-92f5-ec5f3308a84a · outbound

This paper cites Zhou and J.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Zhou and J

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.274908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ec5e398-b4ff-4b31-9a26-474d21fd3919 · outbound

This paper cites Neural tree expansion for multi-robot planning in non-cooperative environments,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Neural tree expansion for multi-robot planning in non-cooperative environments,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.245450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77cdea15-2a12-48a4-85b1-e1c8317a3957 · outbound

This paper cites Online tree-based planning for active spacecraft fault estimation and collision avoidance,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Online tree-based planning for active spacecraft fault estimation and collision avoidance,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.214924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8908077-45d5-44b5-a251-c113d3d92bc4 · outbound

This paper cites Neural-fly enables rapid learning for agile flight in strong winds,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Neural-fly enables rapid learning for agile flight in strong winds,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.183061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61cb5476-61ab-4716-b369-657835532389 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems DINOv2: Learning Robust Visual Features without Supervision

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:10.071441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46b30f8-da87-45fc-891f-c36fd2aa9be6 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:10.078127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b804fb2-c4b5-41de-9196-1bae8d928b19 · outbound

This paper cites Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.137599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 691f057c-1e03-4514-83c9-9d1acd1c1f73 · outbound

This paper cites Trajectory planning for quadrotor swarms,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Trajectory planning for quadrotor swarms,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.108589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 668bacf4-391c-4271-8ddf-9f8248f32200 · outbound

This paper cites Optimal guidance and control with nonlinear dynamics using sequential convex programming,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Optimal guidance and control with nonlinear dynamics using sequential convex programming,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.089527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3abc50e9-9491-4f08-aeac-a4bef6aff79c · outbound

This paper cites Magic-vfm meta adaptive control for ground vehicle with visual foundation models,.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Magic-vfm meta adaptive control for ground vehicle with visual foundation models,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:14:11.064335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b822cf5a-d181-4be6-90fe-23821f16590e · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search with Spectral Expansion for Planning with Dynamical Systems Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:14:11.032606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Reference resolution

Outbound references

Pith citing papers