Simulation-Aided Policy Tuning for Black-Box Robot Learning | Paper Citation Record

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This paper cites Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collec- tion,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collec- tion,

Reference 1

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This paper cites an unresolved cited work.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 2

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This paper cites Learning quadrupedal locomotion over challenging terrain,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning quadrupedal locomotion over challenging terrain,

Reference 3

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Observation e4ae5f8b-4c70-4a53-8349-b08706086e6b · outbound

This paper cites How to train your robot with deep reinforce- ment learning: Lessons we have learned,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning How to train your robot with deep reinforce- ment learning: Lessons we have learned,

Reference 4

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This paper cites A survey on policy search algorithms for learning robot controllers in a handful of trials,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning A survey on policy search algorithms for learning robot controllers in a handful of trials,

Reference 5

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Observation 38b2caa6-900e-4261-a4bb-10aa87ade617 · outbound

This paper cites Constraining Conformal Theories in Large Dimensions.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Constraining Conformal Theories in Large Dimensions

Reference 6

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This paper cites Probabilistic movement primitives,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Probabilistic movement primitives,

Reference 7

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Observation 3ce9ed82-34a4-4b1d-b830-3d437840dd07 · outbound

This paper cites SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Simulation-Aided Policy Tuning for Black-Box Robot Learning SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reference 8

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Observation 17fa55f0-31e4-4441-8fbe-b53745e91731 · outbound

This paper cites Scalable global optimization via local Bayesian optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Scalable global optimization via local Bayesian optimization,

Reference 10

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Observation f0444ab0-ba5f-488c-8972-278767aeefde · outbound

This paper cites Local policy search with Bayesian optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Local policy search with Bayesian optimization,

Reference 11

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Observation baceda17-3a97-468c-b910-bbd812f9cb58 · outbound

This paper cites Cautious Bayesian optimization for efficient and scal- able policy search,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Cautious Bayesian optimization for efficient and scal- able policy search,

Reference 12

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This paper cites High-dimensional Bayesian optimization with sparse axis-aligned sub- spaces,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning High-dimensional Bayesian optimization with sparse axis-aligned sub- spaces,

Reference 13

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This paper cites Lo- cal Bayesian optimization via maximizing probability of 15 descent,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Lo- cal Bayesian optimization via maximizing probability of 15 descent,

Reference 14

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Observation 63e7f3c1-b57c-4295-8232-fb4ee2bf7973 · outbound

This paper cites Are random decom- positions all we need in high dimensional Bayesian optimisation?.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Are random decom- positions all we need in high dimensional Bayesian optimisation?

Reference 15

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Observation 37884e94-1764-4b8b-bbff-a55ffe89b2f4 · outbound

This paper cites Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task,

Reference 16

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This paper cites Sim-to-real transfer of robotic control with dynamics randomization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Sim-to-real transfer of robotic control with dynamics randomization,

Reference 17

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Observation 0b19b8ab-02f8-4ab0-8164-a3fd79f4ce8a · outbound

This paper cites Learning dexterous in-hand manipulation,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning dexterous in-hand manipulation,

Reference 18

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Observation c1cfe1cb-762c-4c9f-87df-872619c6ef34 · outbound

This paper cites Learning invariant feature spaces to transfer skills with reinforcement learning,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning invariant feature spaces to transfer skills with reinforcement learning,

Reference 19

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This paper cites Sim-to-real robot learning from pixels with progressive nets,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Sim-to-real robot learning from pixels with progressive nets,

Reference 20

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This paper cites DIRL: Domain-invariant representation learning for sim-to-real transfer,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning DIRL: Domain-invariant representation learning for sim-to-real transfer,

Reference 21

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This paper cites Gaussian process optimization in the bandit setting: No regret and experimental design,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Gaussian process optimization in the bandit setting: No regret and experimental design,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:41.854864Z

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This paper cites Automatic LQR tuning based on Gaussian process global optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Automatic LQR tuning based on Gaussian process global optimization,

Reference 24

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This paper cites Automatic tuning for data-driven model predictive control,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Automatic tuning for data-driven model predictive control,

Reference 25

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This paper cites Bayesian optimisation for robust model predictive control un- der model parameter uncertainty,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Bayesian optimisation for robust model predictive control un- der model parameter uncertainty,

Reference 26

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Observation d26358e4-58a4-48b5-bffe-ed94894eb9c0 · outbound

This paper cites Computing the racing line using Bayesian optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Computing the racing line using Bayesian optimization,

Reference 27

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Observation 1b021aac-5c6f-40e0-917e-7e9380ae1791 · outbound

This paper cites Learning by demonstration and robust control of dexterous in-hand robotic manipu- lation skills,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning by demonstration and robust control of dexterous in-hand robotic manipu- lation skills,

Reference 28

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This paper cites Deep black-box reinforcement learning with movement primitives,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Deep black-box reinforcement learning with movement primitives,

Reference 29

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

Simulation-Aided Policy Tuning for Black-Box Robot Learning PILCO: A model- based and data-efficient approach to policy search,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:41.815430Z

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Observation b621ba10-93eb-4912-b091-471cd2704b38 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Deep reinforcement learning in a handful of trials using probabilistic dynamics models,

Reference 31

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This paper cites Sample-efficient reinforcement learning with stochastic ensemble value expansion,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Sample-efficient reinforcement learning with stochastic ensemble value expansion,

Reference 32

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This paper cites When to trust your model: Model-based policy optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning When to trust your model: Model-based policy optimization,

Reference 33

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This paper cites Data efficient reinforcement learning for legged robots,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Data efficient reinforcement learning for legged robots,

Reference 34

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This paper cites Learning modular robot control policies,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning modular robot control policies,

Reference 35

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This paper cites Garnett, Bayesian Optimization.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Garnett, Bayesian Optimization

Reference 36

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This paper cites Automatic gait optimization with Gaussian process regression,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Automatic gait optimization with Gaussian process regression,

Reference 37

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This paper cites Virtual vs. real: Trading off sim- ulations and physical experiments in reinforcement learning with Bayesian optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Virtual vs. real: Trading off sim- ulations and physical experiments in reinforcement learning with Bayesian optimization,

Reference 39

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This paper cites Local Bayesian optimization of motor skills,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Local Bayesian optimization of motor skills,

Reference 40

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This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 41

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This paper cites Robot learning from randomized simulations: A review,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Robot learning from randomized simulations: A review,

Reference 42

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Observation 473f6e8b-ca05-4228-a6d4-ca3fef2eb017 · outbound

This paper cites Rasmussen and C.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Rasmussen and C

Reference 43

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Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 44

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Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 45

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This paper cites Multi- information source optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Multi- information source optimization,

Reference 46

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This paper cites Efficient global optimization of expensive black-box functions,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Efficient global optimization of expensive black-box functions,

Reference 47

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Observation bc1a5150-8a52-4ac7-936a-b0a68f60e95e · outbound

This paper cites Simple random search of static linear policies is competitive for rein- forcement learning,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Simple random search of static linear policies is competitive for rein- forcement learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:41.637024Z

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This paper cites Entropy search for information-efficient global optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Entropy search for information-efficient global optimization,

Reference 49

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Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 50

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This paper cites Deep neural networks for improved, impromptu trajectory tracking of quadrotors,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Deep neural networks for improved, impromptu trajectory tracking of quadrotors,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:41.595331Z

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This paper cites Learning from demonstration,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Learning from demonstration,

Reference 52

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This paper cites Dynamical movement primitives: Learning attractor models for motor behaviors,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning Dynamical movement primitives: Learning attractor models for motor behaviors,

Reference 53

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This paper cites The be- havior and convergence of local Bayesian optimization,.

Simulation-Aided Policy Tuning for Black-Box Robot Learning The be- havior and convergence of local Bayesian optimization,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:29:41.550213Z

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Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 2022

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Simulation-Aided Policy Tuning for Black-Box Robot Learning Unresolved cited work

Reference 3810

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