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01/24/2023
Differentiable Forward Kinematics for TensorFlow 2
Robotic systems are often complex and depend on the integration of a lar...
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12/16/2022
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks
Imitation learning approaches achieve good generalization within the ran...
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08/01/2022
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization
Training deep neural networks is a very demanding task, especially chall...
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06/08/2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Many deep reinforcement learning algorithms rely on simple forms of expl...
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02/14/2022
Continual Learning from Demonstration of Robotic Skills
Methods for teaching motion skills to robots focus on training for a sin...
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03/17/2021
Learning Descriptor of Constrained Task from Demonstration
Constrained objects, such as doors and drawers are often complex and sha...
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12/04/2020
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
Autonomous discovery of discrete symbols and rules from continuous inter...
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10/29/2020
How do Offline Measures for Exploration in Reinforcement Learning behave?
Sufficient exploration is paramount for the success of a reinforcement l...
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10/24/2020
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search
Local policy search is performed by most Deep Reinforcement Learning (D-...
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07/21/2020
Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features
Behavior Trees constitute a widespread AI tool which has been successful...
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01/29/2020
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Convolutional Neural Networks (CNNs) have become the state of the art me...
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09/12/2018
Action Representations in Robotics: A Taxonomy and Systematic Classification
Understanding and defining the meaning of "action" is substantial for ro...
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05/11/2018
Learning Movement Assessment Primitives for Force Interaction Skills
We present a novel, reusable and task-agnostic primitive for assessing t...
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01/26/2018
Symbol Emergence in Cognitive Developmental Systems: a Survey
Symbol emergence through a robot's own interactive exploration of the wo...
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07/28/2016
25 years of CNNs: Can we compare to human abstraction capabilities?
We try to determine the progress made by convolutional neural networks o...
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06/17/2016
Learning Abstract Classes using Deep Learning
Humans are generally good at learning abstract concepts about objects an...
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05/25/2013
ÖAGM/AAPR 2013 - The 37th Annual Workshop of the Austrian Association for Pattern Recognition
In this editorial, the organizers summarize facts and background about t...
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04/06/2013
