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Maximilian Karl

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning

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Nov 07, 2024
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LIMT: Language-Informed Multi-Task Visual World Models

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Jul 18, 2024
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Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models

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Apr 29, 2024
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On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer

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Dec 06, 2023
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Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models

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Dec 04, 2023
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CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces

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Nov 28, 2022
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Learning to Fly via Deep Model-Based Reinforcement Learning

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Mar 19, 2020
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Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations

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Nov 02, 2019
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Unsupervised Real-Time Control through Variational Empowerment

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Oct 13, 2017
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Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

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Mar 03, 2017
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