Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Object-Centric Learning"”.
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Representation Learning for Agents in Non-Markovian Environments
This thesis focuses on representation learning for agents that seek to acquire an environment model by interacting with the environment and learning from observation data. Simplified models such as Markov Decision Processes (MDP), which assume a fully observable state and independence of the future …
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Representation Learning for Agents in Non-Markovian Environments
This thesis focuses on representation learning for agents that seek to acquire an environment model by interacting with the environment and learning from observation data. Simplified models such as Markov Decision Processes (MDP), which assume a fully observable state and independence of the future …
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COMPOSITIONAL OBJECT-CENTRIC REPRESENTATIONS FOR ROBUST VISUAL PERCEPTION
… inputs. In contrast, human vision learns objects as compositional building blocks, enabling robust recognition, occlusion reasoning, generalization, and sample-efficient learning. To address this gap, this thesis proposes a unified object-centric representation framework with three stages: …