Learning, Reasoning, and Planning with Relational and Temporal Neural Networks
Every day, people interpret events and actions in terms of concepts, defined over evolving relations among agents and objects and their goals. We learn these concepts from a limited amount of data, generalizing directly over different numbers and arrangements of agents and objects, and detailed timi...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139905 |