most citedEfficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty

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stat.ML2025

Functional Adjoint Sampler: Scalable Sampling on Infinite Dimensional Spaces

Byoungwoo Park, Juho Lee, Guan-Horng Liu

Learning-based methods for sampling from the Gibbs distribution in finite-dimensional spaces have progressed quickly, yet theory and algorithmic design for infinite-dimensional fun…