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Learning dexterous in-hand manipulation

The International journal of robotics research, 2020-01, Vol.39 (1), p.3-20

2020

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Control of a Quadrotor With Reinforcement Learning

IEEE robotics and automation letters, 2017-10, Vol.2 (4), p.2096-2103

2017

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Tracking-Learning-Detection

IEEE transactions on pattern analysis and machine intelligence, 2012-07, Vol.34 (7), p.1409-1422

2012

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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

2014

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Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics

Automatica (Oxford), 2014-04, Vol.50 (4), p.1167-1175

2014

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Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.882-893

2014

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Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence, 2014-06, Vol.36 (6), p.1134-1148

2014

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Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners

IEEE transactions on robotics, 2021-02, Vol.37 (1), p.48-66

2021

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Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

IEEE transactions on pattern analysis and machine intelligence, 2014-07, Vol.36 (7), p.1325-1339

2014

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A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

IEEE transactions on evolutionary computation, 2013-10, Vol.17 (5), p.721-736

2013

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Learning task-oriented grasping for tool manipulation from simulated self-supervision

The International journal of robotics research, 2020-03, Vol.39 (2-3), p.202-216

2020

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Online Transfer Learning

Artificial intelligence, 2014-11, Vol.216, p.76-102

2014

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A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials

IEEE transactions on robotics, 2020-04, Vol.36 (2), p.328-347

2020

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Kernel methods in system identification, machine learning and function estimation: A survey

Automatica (Oxford), 2014-03, Vol.50 (3), p.657-682

2014

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Domain Transfer Multiple Kernel Learning

IEEE transactions on pattern analysis and machine intelligence, 2012-03, Vol.34 (3), p.465-479

2012

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Multiple instance classification: Review, taxonomy and comparative study

Artificial intelligence, 2013-08, Vol.201, p.81-105

Amores, Jaume

2013

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Failure diagnosis using deep belief learning based health state classification

Reliability engineering & system safety, 2013-07, Vol.115, p.124-135

2013

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Learning-Based Model Predictive Control for Autonomous Racing

IEEE robotics and automation letters, 2019-10, Vol.4 (4), p.3363-3370

2019

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Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

International journal of computer vision, 2014-09, Vol.109 (3), p.209-232

2014

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Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Machine learning, 2013-06, Vol.91 (3), p.325-349

2013

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Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

IEEE transactions on robotics, 2012-12, Vol.28 (6), p.1360-1370

2012

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Document-level sentiment classification: An empirical comparison between SVM and ANN

Expert systems with applications, 2013-02, Vol.40 (2), p.621-633

2013

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A general account of argumentation with preferences

Artificial intelligence, 2013-02, Vol.195, p.361-397

2013

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Visual Event Recognition in Videos by Learning from Web Data

IEEE transactions on pattern analysis and machine intelligence, 2012-09, Vol.34 (9), p.1667-1680

2012

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Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

IEEE transactions on pattern analysis and machine intelligence, 2013-11, Vol.35 (11), p.2624-2637

2013

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Learning dexterous in-hand manipulation

Control of a Quadrotor With Reinforcement Learning

Tracking-Learning-Detection

Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics

Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners

Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

A Grid-Based Evolutionary Algorithm for Many-Objective Optimization

Learning task-oriented grasping for tool manipulation from simulated self-supervision

Online Transfer Learning

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials

Kernel methods in system identification, machine learning and function estimation: A survey

Domain Transfer Multiple Kernel Learning

Multiple instance classification: Review, taxonomy and comparative study

Failure diagnosis using deep belief learning based health state classification

Learning-Based Model Predictive Control for Autonomous Racing

Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

Document-level sentiment classification: An empirical comparison between SVM and ANN

A general account of argumentation with preferences

Visual Event Recognition in Videos by Learning from Web Data

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

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