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stat.ML2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
Yirui Zhou, Yunfei Jin, Xiaowei Liu +2
Learning from observations (LfO) replicates expert behavior without needing access to the expert's actions, making it more practical than learning from demonstrations (LfD) in many…
stat.ML2024
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
Yangchun Zhang, Wang Zhou, Yirui Zhou
In the context of inverse reinforcement learning (IRL) with a single expert, adversarial inverse reinforcement learning (AIRL) serves as a foundational approach to providing compre…