ICML 2024 "world models" Papers

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AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Yucen Wang, Shenghua Wan, Le Gan et al.

ICML 2024posterarXiv:2403.09976

Efficient World Models with Context-Aware Tokenization

Vincent Micheli, Eloi Alonso, François Fleuret

ICML 2024posterarXiv:2406.19320

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

Paul Mattes, Rainer Schlosser, Ralf Herbrich

ICML 2024posterarXiv:2310.05167

Learning Latent Dynamic Robust Representations for World Models

Ruixiang Sun, Hongyu Zang, Xin Li et al.

ICML 2024oralarXiv:2405.06263

Learning to Model the World With Language

Jessy Lin, Yuqing Du, Olivia Watkins et al.

ICML 2024posterarXiv:2308.01399

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Aditya A. Ramesh, Kenny Young, Louis Kirsch et al.

ICML 2024oralarXiv:2405.03878