3 citations · 6 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning
Zheyuan Zhang, Manqing Mao, Hong Wang +8
Critic-free group-based reinforcement learning has become a scalable approach for post-training large language models. However, most existing methods allocate the same number of ro…
cs.LG2023
Dictionary-based Manifold Learning
Hanyu Zhang, Samson Koelle, Marina Meila
We propose a paradigm for interpretable Manifold Learning for scientific data analysis, whereby we parametrize a manifold with smooth functions from a scientist-provided dictio…