Muhammad Burhan Hafez

Sarvapali D. Ramchurn

Shoaib Ehsan

CoRR, October, 2025

QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning.

[BibT_eX]

[DOI]

Mostafa Kotb

IEEE Robotics Autom. Lett., January, 2025

2024

Continual Robot Learning Using Self-Supervised Task Inference.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., June, 2024

Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation.

[BibT_eX]

[DOI]

Kerim Erekmen

CoRR, 2024

2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input.

[BibT_eX]

[DOI]

Patrick Bruns

Appl. Artif. Intell., December, 2023

Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning.

[BibT_eX]

[DOI]

Tilman Immisch

Tom Weber

Frontiers Neurorobotics, June, 2023

Model Predictive Control with Self-supervised Representation Learning.

[BibT_eX]

[DOI]

Jonas Matthies

Mostafa Kotb

CoRR, 2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input.

[BibT_eX]

[DOI]

Patrick Bruns

CoRR, 2023

Chat with the Environment: Interactive Multimodal Perception Using Large Language Models.

[BibT_eX]

[DOI]

Xufeng Zhao

Mengdi Li

IROS, 2023

2022

Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations.

[BibT_eX]

[DOI]

Xufeng Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Behavior Self-Organization Supports Task Inference for Continual Robot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision.

[BibT_eX]

[DOI]

Julien Scholz

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Intrinsically Motivated Actor-Critic for Robot Motor Learning (Intrinsisch motivierter Akteur-Kritiker für Roboter-Lernen)

[BibT_eX]

[DOI]

PhD thesis, 2020

Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2020

2019

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

[BibT_eX]

[DOI]

Paladyn J. Behav. Robotics, 2019

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space.

[BibT_eX]

[DOI]

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

2018

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Curiosity-driven exploration enhances motor skills of continuous actor-critic learner.

[BibT_eX]

[DOI]

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2015

Topological Q-learning with internally guided exploration for mobile robot navigation.

[BibT_eX]

[DOI]

Chu Kiong Loo

Neural Comput. Appl., 2015

2014

Curiosity-based topological reinforcement learning.

[BibT_eX]

[DOI]