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cs.LG2025
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
Yongwei Che, Benjamin Eysenbach
While internet-scale data often comes in pairs (e.g., audio/image, image/text), we often want to perform inferences over modalities unseen together in the training data (e.g., audi…
cs.LG2025
Horizon Generalization in Reinforcement Learning
Vivek Myers, Catherine Ji, Benjamin Eysenbach
We study goal-conditioned RL through the lens of generalization, but not in the traditional sense of random augmentations and domain randomization. Rather, we aim to learn goal-dir…