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09/02/2023
Developmental Scaffolding with Large Language Models
Exploratoration and self-observation are key mechanisms of infant sensor...
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09/02/2023
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
In this paper, we propose and realize a new deep learning architecture f...
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07/10/2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
Offline Reinforcement Learning (RL) methods leverage previous experience...
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09/28/2022
Bimanual rope manipulation skill synthesis through context dependent correction policy learning from human demonstration
Learning from demonstration (LfD) provides a convenient means to equip r...
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08/01/2022
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors
In this paper, we propose a concept learning architecture that enables a...
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06/18/2021
High-level Features for Resource Economy and Fast Learning in Skill Transfer
Abstraction is an important aspect of intelligence which enables agents ...
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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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08/26/2020
Intrinsic Motivation in Object-Action-Outcome Blending Latent Space
One effective approach for equipping artificial agents with sensorimotor...
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07/06/2020
On the weight and density bounds of polynomial threshold functions
In this report, we show that all n-variable Boolean function can be repr...
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03/25/2020
Adaptive Conditional Neural Movement Primitives via Representation Sharing Between Supervised and Reinforcement Learning
Learning by Demonstration provides a sample efficient way to equip robot...
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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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04/05/2015
