Asako Kanezaki

Probabilistic Semi-Canonical Correlation Analysis

2015

anonical Correlation Analysis (CCA) requires paired multimodal data to ascertain the relation between two variables. However, it is generally difficult to collect a sufficient amount of paired data of two variables as training samples. This …

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

2021 · arXiv (Cornell University)

Inverse Reinforcement Learning (IRL) is attractive in scenarios where reward engineering can be tedious. However, prior IRL algorithms use on-policy transitions, which require intensive sampling from the current policy for stable and optimal performance. This …