Deep Intrinsically Motivated Continuous Actor-Critic for Efficient
Robotic Visuomotor Skill Learning

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Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning

26 October 2018

Muhammad Burhan Hafez

Matthias Kerzel

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Papers citing "Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning"

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Title
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Mostafa Kotb C. Weber S. Wermter 206 4 0 07 Mar 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief ReviewScientific and Technical Information Processing (STIP), 2023 Artem Latyshev Aleksandr I. Panov 195 3 0 24 Jan 2023
Survey on reinforcement learning for language processingArtificial Intelligence Review (AIR), 2021 Víctor Uc Cetina Nicolás Navarro-Guerrero A. Martín-González C. Weber S. Wermter OffRL 268 124 0 12 Apr 2021
Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space M. Sener Y. Nagai Erhan Öztop Emre Ugur 198 0 0 26 Aug 2020
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms Huihui Zhang Wu Huang OOD OffRL 86 1 0 12 May 2020
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach Doreen Jirak David Biertimpel Matthias Kerzel S. Wermter 52 14 0 13 Dec 2019
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective Di Fu C. Weber Guochun Yang Matthias Kerzel Weizhi Nan Pablo V. A. Barros Haiyan Wu Xun Liu S. Wermter 75 0 0 05 Sep 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2019 Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 109 11 0 05 May 2019