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cs.LG2025
A Relative Ignorability Framework for Decision-Relevant Observability in Control Theory and Reinforcement Learning
MaryLena Bleile, Minh-Nhat Phung, Minh-Binh Tran
Sequential decision-making systems routinely operate with missing or incomplete data. Classical reinforcement learning theory, which is commonly used to solve sequential decision p…
math.NA2025
Regularized Unbalanced Optimal Transport with Pearson Marginal Penalties
Minh-Nhat Phung, Minh-Binh Tran
We study quadratically regularized unbalanced optimal transport with Pearson marginal penalties and a lower bound on the plan, including the sparse case . We organize…