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On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference

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inferredcites →https://doi.org/10.1006/inco.1996.2612openalex-snapshot
Exponentiated Gradient versus Gradient Descent for Linear Predictors
inferredcites →https://doi.org/10.1007/978-1-4612-4120-1_14openalex-snapshot
Risk Sensitive Markov Decision Processes
inferredcites →https://doi.org/10.1007/978-1-84882-537-6_8openalex-snapshot
Optimal Control and Estimation
inferredcites →https://doi.org/10.1007/978-3-540-69134-1_10openalex-snapshot
Adaptive Optimal Control for Redundantly Actuated Arms
inferredcites →https://doi.org/10.1007/s10994-012-5278-7openalex-snapshot
Optimal control as a graphical model inference problem
inferredcites →https://doi.org/10.1038/nn963openalex-snapshot
Optimal feedback control as a theory of motor coordination
inferredcites →https://doi.org/10.1073/pnas.0710743106openalex-snapshot
Efficient computation of optimal actions
inferredcites →https://doi.org/10.1088/1742-5468/2005/11/p11011openalex-snapshot
Path integrals and symmetry breaking for optimal control theory
inferredcites →https://doi.org/10.1109/adprl.2007.368196openalex-snapshot
Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark
inferredcites →https://doi.org/10.1109/cdc.2006.377485openalex-snapshot
An Iterative Optimal Control and Estimation Design for Nonlinear Stochastic System
inferredcites →https://doi.org/10.1109/iros.2011.6094799openalex-snapshot
Stiffness and temporal optimization in periodic movements: An optimal control approach
inferredcites →https://doi.org/10.1109/robot.2010.5509630openalex-snapshot
Optimal Feedback Control for anthropomorphic manipulators
inferredcites →https://doi.org/10.1145/1143844.1143963openalex-snapshot
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
inferredcites →https://doi.org/10.1145/1553374.1553508openalex-snapshot
Robot trajectory optimization using approximate inference
inferredcites →https://doi.org/10.1198/tech.2007.s518openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.15607/rss.2011.vii.004openalex-snapshot
Exploiting Variable Stiffness in Explosive Movement Tasks
inferredcites →https://doi.org/10.15607/rss.2012.viii.059openalex-snapshot
Hierarchical Motion Planning in Topological Representations
inferredcites →https://doi.org/10.48550/arxiv.1203.3523openalex-snapshot
Risk Sensitive Path Integral Control
inferredcites →https://doi.org/10.5860/choice.30-3308openalex-snapshot
Pattern recognition and machine learning
inferredcites →https://doi.org/10.7551/mitpress/3917.003.0017openalex-snapshot
Reinforcement Learning
inferredcites →https://doi.org/10.7551/mitpress/9481.003.0009openalex-snapshot
Exploiting Variable Stiffness in Explosive Movement Tasks
inferredcites →https://doi.org/10.7551/mitpress/9816.003.0064openalex-snapshot
Hierarchical Motion Planning in Topological Representations

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inferred← citeshttps://doi.org/10.1007/978-3-031-20102-8_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-28872-7_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-51547-2_15openalex-snapshot
A Tutorial on Newton Methods for Constrained Trajectory Optimization and Relations to SLAM, Gaussian Process Smoothing, Optimal Control, and Probabilistic Inference
inferred← citeshttps://doi.org/10.1007/978-3-319-60916-4_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-91590-6_7openalex-snapshot
EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control
inferred← citeshttps://doi.org/10.1007/978-3-662-44848-9_31openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10015-017-0361-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-024-05705-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11831-021-09552-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11831-026-10499-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42985-021-00102-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.arcontrol.2022.09.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.automatica.2024.111557openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2020.106886openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112663openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129319openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physrep.2023.07.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rcim.2023.102666openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tics.2012.08.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s42256-024-00829-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/srep21142openalex-snapshot
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inferred← citeshttps://doi.org/10.1061/jleed9.eyeng-6297openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/01691864.2020.1817777openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/18824889.2022.2095827openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1751-8121/50/3/034006openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/allerton.2018.8636069openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cdc56724.2024.10886246openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/humanoids.2013.7029978openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/humanoids.2018.8624989openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icar.2015.7251457openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00901openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2016.7487277openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2017.7989082openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2018.8460756openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2019.8793740openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra40945.2020.9196840openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812228openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561017openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561639openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161374openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icuas.2014.6842254openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/robio.2016.7866531openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tro.2018.2830374openalex-snapshot
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inferred← citeshttps://doi.org/10.1162/neco_a_01422openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/0278364920987859openalex-snapshot
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inferred← citeshttps://doi.org/10.11834/jig.230028openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/jagi-2017-0001openalex-snapshot
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inferred← citeshttps://doi.org/10.1523/eneuro.0301-17.2018openalex-snapshot
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inferred← citeshttps://doi.org/10.15607/rss.2012.viii.059openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/ecc64448.2024.10591009openalex-snapshot
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inferred← citeshttps://doi.org/10.31234/osf.io/kf6wcopenalex-snapshot
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inferred← citeshttps://doi.org/10.32920/ryerson.14660991openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s130302929openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/e61251fezad0fz421azbf48za7b1536aabd7openalex-snapshot
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