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Poster
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Thu 8:45
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Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
Shengqiong Wu · Hao Fei · Hanwang Zhang · Tat-Seng Chua
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Workshop
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Contrastive Abstraction for Reinforcement Learning
Vihang Patil · Markus Hofmarcher · Elisabeth Rumetshofer · Sepp Hochreiter
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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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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
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Workshop
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Can Visual Scratchpads With Diagrammatic Abstractions Augment LLM Reasoning?
Joy Hsu · Gabriel Poesia · Jiajun Wu · Noah Goodman
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Workshop
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Fri 7:50
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#19: Modelling Moral Debate using Reason-based Abstract Argumentation Theory
Alex Jackson · Michael Luck · Elizabeth Black
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Workshop
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Does Hierarchical Reinforcement Learning Outperform Standard Reinforcement Learning in Goal-Oriented Environments?
Ziyan Luo · Yijie Zhang · Zhaoyue(Rebecca) Wang
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Workshop
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Learning How to Create Generalizable Hierarchies for Robot Planning
Naman Shah · Siddharth Srivastava
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Workshop
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Reconciling Spatial and Temporal Abstractions for Goal Representation
Mehdi Zadem · Sergio Mover · Sao Mai Nguyen
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Affinity Workshop
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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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Continual Learning and Out of Distribution Generalization in a Systematic Reasoning Task
Mustafa Abdool · Andrew Nam · James McClelland
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Workshop
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Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning
Rashmeet Kaur Nayyar · Shivanshu Verma · Siddharth Srivastava
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