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Workshop
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Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
Michael Hersche · Francesco Di Stefano · Thomas Hofmann · Abu Sebastian · Abbas Rahimi
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Workshop
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Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels
Thomas Jiralerspong · Flemming Kondrup · Doina Precup · Khimya Khetarpal
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Workshop
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Learning Interpretable Libraries by Compressing and Documenting Code
Gabriel Grand · Catherine Wong · Matthew Bowers · Theo X. Olausson · Muxin Liu · Josh Tenenbaum · Jacob Andreas
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Workshop
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
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Workshop
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Sat 6:55
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Learning Abstract World Models for Value-preserving Planning with Options
Rafael Rodriguez Sanchez · George Konidaris
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Workshop
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Sat 6:20
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Causal Dynamics Learning for Task-Independent State Abstraction
Peter Stone
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Workshop
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Sat 7:25
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Value-Based Abstractions for Planning
Amy Zhang
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Workshop
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Fri 11:45
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Abstraction and Analogy are the Keys to Robust, Open-Ended AI
Melanie Mitchell
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Workshop
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Sat 7:50
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Geometry of abstract learned knowledge in deep RL agents
James Mochizuki-Freeman
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Poster
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Tue 15:15
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Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor Webb · Shanka Subhra Mondal · Jonathan D Cohen
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Poster
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Thu 15:00
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SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Kushin Mukherjee · Holly Huey · Xuanchen Lu · Yael Vinker · Rio Aguina-Kang · Ariel Shamir · Judith Fan
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Poster
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Tue 15:15
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Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
Yangqing Fu · Ming Sun · Buqing Nie · Yue Gao
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