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Manfred Eppe
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2020 – today
- 2024
- [i20]Jan Dohmen, Frank Röder, Manfred Eppe:
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research. CoRR abs/2401.14488 (2024) - 2023
- [j12]Matthias Kerzel, Philipp Allgeuer
, Erik Strahl
NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. IEEE Access 11: 123531-123542 (2023) - [i19]Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter:
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation. CoRR abs/2305.08528 (2023) - 2022
- [j11]Manfred Eppe
Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. 4(1): 11-20 (2022) - [j10]Matthias Kerzel
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. IEEE Trans. Cogn. Dev. Syst. 14(4): 1331-1343 (2022) - [c21]Frank Röder
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. ICDL 2022: 170-177 - [i18]Frank Röder, Manfred Eppe, Stefan Wermter:
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. CoRR abs/2204.04308 (2022) - [i17]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR abs/2208.08731 (2022) - [i16]Frank Röder, Manfred Eppe:
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections. CoRR abs/2211.10168 (2022) - 2021
- [j9]Manfred Eppe, Stefan Wermter
Developmental Robotics and its Role Towards Artificial General Intelligence. Künstliche Intell. 35(1): 5-7 (2021) - [j8]Phuong D. H. Nguyen
Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey. Künstliche Intell. 35(1): 9-35 (2021) - [j7]Manfred Eppe
Intelligent Behavior Depends on the Ecological Niche. Künstliche Intell. 35(1): 103-108 (2021) - [i15]Manfred Eppe, Pierre-Yves Oudeyer:
Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments. CoRR abs/2103.06769 (2021) - [i14]Sascha S. Griffiths, Tayfun Alpay, Alexander Sutherland, Matthias Kerzel, Manfred Eppe, Erik Strahl, Stefan Wermter:
Exercise with Social Robots: Companion or Coach? CoRR abs/2103.12940 (2021) - 2020
- [c20]Frank Röder
Curious Hierarchical Actor-Critic Reinforcement Learning. ICANN (2) 2020: 408-419 - [c19]Yannick Jonetzko, Niklas Fiedler, Manfred Eppe, Jianwei Zhang:
Multimodal Object Analysis with Auditory and Tactile Sensing Using Recurrent Neural Networks. ICCSIP 2020: 253-265 - [i13]Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
Curious Hierarchical Actor-Critic Reinforcement Learning. CoRR abs/2005.03420 (2020) - [i12]Matthias Kerzel, Fares Abawi
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. CoRR abs/2009.12674 (2020) - [i11]Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter:
Reinforcement Learning with Time-dependent Goals for Robotic Musicians. CoRR abs/2011.05715 (2020) - [i10]Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter
Robotic self-representation improves manipulation skills and transfer learning. CoRR abs/2011.06985 (2020) - [i9]Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan, Manfred Eppe, Verena Vanessa Hafner, Stefan Wermter:
Sensorimotor representation learning for an "active self" in robots: A model survey. CoRR abs/2011.12860 (2020) - [i8]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. CoRR abs/2012.10147 (2020)
2010 – 2019
- 2019
- [j6]Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. Frontiers Robotics AI 6: 123 (2019) - [j5]Pablo V. A. Barros
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. Frontiers Robotics AI 6: 137 (2019) - [c18]Matthias Kerzel, Manfred Eppe, Stefan Heinrich
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. ICDL-EPIROB 2019: 19-24 - [c17]Manfred Eppe, Sven Magg, Stefan Wermter
Curriculum goal masking for continuous deep reinforcement learning. ICDL-EPIROB 2019: 183-188 - [c16]Ahmed Marzouk, Pablo V. A. Barros
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. IJCNN 2019: 1-7 - [i7]Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. CoRR abs/1905.09683 (2019) - 2018
- [j4]Manfred Eppe
A computational framework for conceptual blending. Artif. Intell. 256: 105-129 (2018) - [j3]Roberto Confalonieri
Upward refinement operators for conceptual blending in the description logic ℰ ℒ++. Ann. Math. Artif. Intell. 82(1-3): 69-99 (2018) - [c15]Manfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter:
An analysis of subtask-dependency in robot command interpretation with dilated CNNs. ESANN 2018 - [c14]Manfred Eppe, Tayfun Alpay, Stefan Wermter
Towards End-to-End Raw Audio Music Synthesis. ICANN (3) 2018: 137-146 - [c13]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. IROS 2018: 284-289 - [c12]Erik Strahl, Matthias Kerzel, Manfred Eppe, Sascha S. Griffiths, Stefan Wermter
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. IROS 2018: 5041 - [p1]Roberto Confalonieri, Tarek R. Besold, Mihai Codescu, Manfred Eppe:
Enabling Technologies for Concept Invention. Concept Invention 2018: 189-219 - [i6]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. CoRR abs/1807.01035 (2018) - [i5]Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. CoRR abs/1809.06146 (2018) - 2017
- [c11]Manfred Eppe, Matthias Kerzel, Sascha S. Griffiths, Hwei Geok Ng, Stefan Wermter
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. Humanoids 2017: 612-617 - 2016
- [c10]Roberto Confalonieri, Marco Schorlemmer, Oliver Kutz, Rafael Peñaloza, Enric Plaza, Manfred Eppe:
Conceptual Blending in EL++. Description Logics 2016 - [c9]Manfred Eppe, Sean Trott, Vivek Raghuram, Jerome A. Feldman, Adam Janin:
Application-Independent and Integration-Friendly Natural Language Understanding. GCAI 2016: 340-352 - [c8]Manfred Eppe, Sean Trott, Jerome Feldman:
Exploiting deep semantics and compositionality of natural language for Human-Robot-Interaction. IROS 2016: 731-738 - [i4]Manfred Eppe, Sean Trott, Jerome Feldman:
Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction. CoRR abs/1604.06721 (2016) - [i3]Michael Spranger, Jakob Suchan, Mehul Bhatt
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. CoRR abs/1607.07565 (2016) - 2015
- [j2]Manfred Eppe, Mehul Bhatt
Approximate postdictive reasoning with answer set programming. J. Appl. Log. 13(4): 676-719 (2015) - [j1]Manfred Eppe, Mehul Bhatt
A history based approximate epistemic action theory for efficient postdictive reasoning. J. Appl. Log. 13(4): 720-769 (2015) - [c7]Roberto Confalonieri, Marco Schorlemmer, Enric Plaza, Manfred Eppe, Oliver Kutz, Rafael Peñaloza:
Upward Refinement for Conceptual Blending in Description Logic: An ASP-based Approach and Case Study in EL++. JOWO@IJCAI 2015 - [c6]Manfred Eppe, Roberto Confalonieri, Ewen Maclean, Maximos A. Kaliakatsos-Papakostas, Emilios Cambouropoulos, W. Marco Schorlemmer, Mihai Codescu, Kai-Uwe Kühnberger:
Computational Invention of Cadences and Chord Progressions by Conceptual Chord-Blending. IJCAI 2015: 2445-2451 - [c5]Manfred Eppe, Ewen Maclean, Roberto Confalonieri
ASP, Amalgamation, and the Conceptual Blending Workflow. LPNMR 2015: 309-316 - 2014
- [c4]Michael Spranger, Jakob Suchan
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. PRICAI 2014: 958-971 - 2013
- [b1]Manfred Eppe:
Postdictive reasoning in epistemic action theory. University of Bremen, 2013, pp. 1-239 - [c3]Manfred Eppe, Frank Dylla:
Towards Epistemic Planning Agents. ICAART (2) 2013: 311-317 - [c2]Manfred Eppe, Mehul Bhatt
Approximate Epistemic Planning with Postdiction as Answer-Set Programming. LPNMR 2013: 290-303 - [i2]Manfred Eppe, Mehul Bhatt
h-approximation: History-Based Approximation of Possible World Semantics as ASP. CoRR abs/1304.4925 (2013) - [i1]Manfred Eppe, Mehul Bhatt
Narrative based Postdictive Reasoning for Cognitive Robotics. CoRR abs/1306.0665 (2013) - 2012
- [c1]Manfred Eppe, Dominik Dietrich:
Interleaving Planning and Plan Execution with Incomplete Knowledge in the Event Calculus. STAIRS 2012: 107-112
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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