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cs.IT2026
Integrated Information in the Active Inference Framework
Carlotta Langer, Jesse van Oostrum, Nihat Ay
The active inference framework provides a principled approach to modeling sentient behavior. In this framework perception and action selection are treated in a unified way. The res…
cs.LG2026
Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts
Jan Benad, Pradeep Kr. Banerjee, Frank Röder +3
Zero-shot generalization in contextual reinforcement learning remains a core challenge, particularly when the context is latent and must be inferred from data. A canonical failure…