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04/18/2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
We present a data-efficient framework for solving sequential decision-ma...
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03/24/2022
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity
Visual action planning particularly excels in applications where the sta...
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02/14/2022
Delaunay Component Analysis for Evaluation of Data Representations
Advanced representation learning techniques require reliable and general...
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02/08/2022
GraphDCA – a Framework for Node Distribution Comparison in Real and Synthetic Graphs
We argue that when comparing two graphs, the distribution of node struct...
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02/07/2022
GMC – Geometric Multimodal Contrastive Representation Learning
Learning representations of multimodal data that are both informative an...
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08/19/2021
Batch Curation for Unsupervised Contrastive Representation Learning
The state-of-the-art unsupervised contrastive visual representation lear...
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05/26/2021
GeomCA: Geometric Evaluation of Data Representations
Evaluating the quality of learned representations without relying on a d...
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03/05/2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Reinforcement learning methods can achieve significant performance but r...
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03/03/2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
We present a framework for visual action planning of complex manipulatio...
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07/26/2020
Data-efficient visuomotor policy training using reinforcement learning and generative models
We present a data-efficient framework for solving deep visuomotor sequen...
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03/19/2020
