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cs.RO2026
FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning
R. Khorrambakht, Joseph Amigo, Félix Lebel +4
World--action models (WAMs) promise a unified model that predicts action-conditioned futures, generates feasible actions, and supports planning in imagination. However, existing jo…
cs.LG2026
PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
Michael Arbel, Basile Terver, Jean Ponce
Non-contrastive self-supervised learning (SSL) is an effective framework for predictive representation learning, but popular (and in practice effective) methods such as SimSiam, BY…