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Policy search in continuous action domains: An overview

Neural networks, 2019-05, Vol.113, p.28-40

2019

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Markov decision processes in artificial intelligence: MDPs, beyond MDPs and applications

2013

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Interactive curriculum learning increases and homogenizes motor smoothness

Scientific reports, 2024-02, Vol.14 (1), p.2843-2843, Article 2843

2024

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Robot Skill Learning: From Reinforcement Learning to Evolution Strategies

Paladyn (Warsaw), 2013-09, Vol.4 (1), p.49-61

2013

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Deep unsupervised network for multimodal perception, representation and classification

Robotics and autonomous systems, 2015-09, Vol.71, p.83-98

2015

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Interactively shaping robot behaviour with unlabeled human instructions

Autonomous agents and multi-agent systems, 2020-10, Vol.34 (2), Article 35

2020

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Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Frontiers in human neuroscience, 2017-12, Vol.11, p.615-615

2017

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Many regression algorithms, one unified model: A review

Neural networks, 2015-09, Vol.69, p.60-79

2015

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Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations

PLoS computational biology, 2014-02, Vol.10 (2), p.e1003466-e1003466

2014

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Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey

ACM transactions on evolutionary learning, 2023-09, Vol.3 (3), p.1-20, Article 10

Sigaud, Olivier

2023

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Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Frontiers in neurorobotics, 2018-09, Vol.12, p.59-59

2018

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Corrigendum: Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Frontiers in human neuroscience, 2018-04, Vol.12, p.143-143

2018

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Corrigendum: Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Frontiers in human neuroscience, 2018-02, Vol.12, p.76-76

2018

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Accounting for negative automaintenance in pigeons: a dual learning systems approach and factored representations

PloS one, 2014-10, Vol.9 (10), p.e111050-e111050

2014

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Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control

Frontiers in robotics and AI, 2020-06, Vol.7, p.61-61

2020

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Markov Decision Processes in Artificial Intelligence

1, 2010

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Mice adaptively generate choice variability in a deterministic task

Communications biology, 2020-01, Vol.3 (1), p.34-34, Article 34

2020

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Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Frontiers in robotics and AI, 2018, Vol.5, p.70-70

2018

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Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey

The Journal of artificial intelligence research, 2022-01, Vol.74, p.1159-1199

2022

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Author Correction: Mice adaptively generate choice variability in a deterministic task

Communications biology, 2020-01, Vol.3 (1), p.54-54, Article 54

2020

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Towards Deep Developmental Learning

IEEE transactions on cognitive and developmental systems, 2016-06, Vol.8 (2), p.99-114

2016

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Markov Decision Processes

Markov Decision Processes in Artificial Intelligence, 2013, p.1-38

2013

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On-line regression algorithms for learning mechanical models of robots: A survey

Robotics and autonomous systems, 2011-12, Vol.59 (12), p.1115-1129

2011

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Divide & Conquer Imitation Learning

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.8630-8637

2022

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From humans to humanoids: The optimal control framework

Paladyn (Warsaw), 2012-06, Vol.3 (2), p.75-91

2012

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Policy search in continuous action domains: An overview

Markov decision processes in artificial intelligence: MDPs, beyond MDPs and applications

Interactive curriculum learning increases and homogenizes motor smoothness

Robot Skill Learning: From Reinforcement Learning to Evolution Strategies

Deep unsupervised network for multimodal perception, representation and classification

Interactively shaping robot behaviour with unlabeled human instructions

Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Many regression algorithms, one unified model: A review

Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations

Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Corrigendum: Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Corrigendum: Unifying Speed-Accuracy Trade-Off and Cost-Benefit Trade-Off in Human Reaching Movements

Accounting for negative automaintenance in pigeons: a dual learning systems approach and factored representations

Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control

Markov Decision Processes in Artificial Intelligence

Mice adaptively generate choice variability in a deterministic task

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey

Author Correction: Mice adaptively generate choice variability in a deterministic task

Towards Deep Developmental Learning

Markov Decision Processes

On-line regression algorithms for learning mechanical models of robots: A survey

Divide & Conquer Imitation Learning

From humans to humanoids: The optimal control framework

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