Manfred Eppe
Zitiert von
Zitiert von
A Computational Framework for Conceptual Blending
M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza, ...
Artificial Intelligence 256 (3), 105-129, 2018
Intelligent problem-solving as integrated hierarchical reinforcement learning
M Eppe, C Gumbsch, M Kerzel, PDH Nguyen, MV Butz, S Wermter
Nature Machine Intelligence 4 (1), 11-20, 2022
Computational invention of cadences and chord progressions by conceptual chord-blending
M Eppe, R Confalonieri, E Maclean, M Kaliakatsos, E Cambouropoulos, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2015
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
M Eppe, PDH Nguyen, S Wermter
Frontiers in Robotics and AI, 2019
Exploiting deep semantics and compositionality of natural language for Human-Robot-Interaction
M Eppe, S Trott, J Feldman
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2016
Upward refinement operators for conceptual blending in the description logic EL++
R Confalonieri, M Eppe, M Schorlemmer, O Kutz, R Penaloza, E Plaza
Annals of Mathematics and Artificial Intelligence 82 (1-3), 69-99, 2018
Curriculum goal masking for continuous deep reinforcement learning
M Eppe, S Magg, S Wermter
IEEE Conference on Developmental Learning and Epigenetic Robotics, 2019
Curious Hierarchical Actor-Critic Reinforcement Learning
F Röder, M Eppe, PDH Nguyen, S Wermter
International Conference on Artificial Neural Networks (ICANN), 2020
Grounding dynamic spatial relations for embodied (robot) interaction
M Spranger, J Suchan, M Bhatt, M Eppe
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014
Narrative based postdictive reasoning for cognitive robotics
M Eppe, M Bhatt
International Symposium on Commonsense Reasoning - arXiv:1306.0665, 2013, 2013
ASP, amalgamation, and the conceptual blending workflow
M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza
Logic Programming and Nonmonotonic Reasoning: 13th International Conference …, 2015
Sensorimotor representation learning for an" active self" in robots: A model survey
PDH Nguyen, YK Georgie, E Kayhan, M Eppe, VV Hafner, S Wermter
KI - Künstliche Intelligenz, 2021
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
M Eppe, M Kerzel, E Strahl, S Wermter
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
Application-Independent and Integration-Friendly Natural Language Understanding
M Eppe, S Trott, V Raghuram, J Feldman, A Janin
Global Conference on Artificial Intelligence (GCAI), 2016
Conceptual blending in EL++
R Confalonieri, M Schorlemmer, O Kutz, R Penaloza, E Plaza, M Eppe
CEUR Workshop Proceedings, 2016
Recognizing intention from natural language: clarification dialog and construction grammar
S Trott, M Eppe, J Feldman
Workshop on Communicating Intentions in Human-Robot Interaction, 2016
Upward Refinement for Conceptual Blending in Description Logic—An ASP-based Approach and Case Study in EL++—
R Confalonieri, M Eppe, M Schorlemmer, O Kutz, R Peñaloza, E Plaza
Association for the Advancement of Artificial Intelligence, 2015
Approximate Epistemic Planning with Postdiction as Answer-Set Programming
M Eppe, M Bhatt, F Dylla
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2013
Combining Deep Learning for Visuomotor Coordination with Object Identification to Realize a High-level Interface for Robot Object-picking
M Eppe, M Kerzel, S Griffiths, HG Ng, S Wermter
International Conference on Humanoid Robots (Humanoids), 2017
Nicol: A neuro-inspired collaborative semi-humanoid robot that bridges social interaction and reliable manipulation
M Kerzel, P Allgeuer, E Strahl, N Frick, JG Habekost, M Eppe, S Wermter
IEEE access 11, 123531-123542, 2023
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