7 citations · 9 across the 5 of their papers we have counts for
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cs.LG2023
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
Weichao Zhou, Wenchao Li
Many imitation learning (IL) algorithms employ inverse reinforcement learning (IRL) to infer the intrinsic reward function that an expert is implicitly optimizing for based on thei…
cs.LG2022
Programmatic Reward Design by Example
Weichao Zhou, Wenchao Li
Reward design is a fundamental problem in reinforcement learning (RL). A misspecified or poorly designed reward can result in low sample efficiency and undesired behaviors. In this…
cs.LG2021★ 7 cited
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu, Wenchao Li
We present a novel methodology for repairing neural networks that use ReLU activation functions. Unlike existing methods that rely on modifying the weights of a neural network whic…