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cs.LG2026
An Informational Curse of Horizon in Goal-Conditioned Policy Learning
John L. Zhou, Yuxuan Dong, Jonathan C. Kao
The difficulty of learning goal-reaching policies is often attributed to a "curse of horizon" that manifests as bias accumulation in temporal-difference backups and noisy advantage…
cs.LG2025
Flattening Hierarchies with Policy Bootstrapping
John L. Zhou, Jonathan C. Kao
Offline goal-conditioned reinforcement learning (GCRL) is a promising approach for pretraining generalist policies on large datasets of reward-free trajectories, akin to the self-s…