Behavioral Diversity Generation in Autonomous Exploration through Reuse of Past Experience

Author:

Benureau Fabien C. Y.,Oudeyer Pierre-Yves

Funder

European Research Council

Agence Nationale de la Recherche

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference58 articles.

1. “Locally weighted learning,”;Atkeson,1997a

2. “Locally weighted learning for control,”;Atkeson,1997b

3. Active learning of inverse models with intrinsically motivated goal exploration in robots;Baranes;Rob. Auton. Syst.,2013

4. “Intrinsically motivated goal exploration for active motor learning in robots: a case study,”;Baranes,2010

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1. Intrinsic motivation learning for real robot applications;Frontiers in Robotics and AI;2023-02-10

2. Curiosity-Driven Exploration;The Drive for Knowledge;2022-05-31

3. Curiosity-Driven Learning in Development;The Cambridge Handbook of Cognitive Development;2022-02-28

4. A curious formulation robot enables the discovery of a novel protocell behavior;Science Advances;2020-01-31

5. PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning;Artificial Neural Networks and Machine Learning – ICANN 2020;2020

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