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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★ 1 cited
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…