Yuhong Ge

X-neuron: Interpreting, Locating and Editing of Neurons in Reinforcement Learning Policy

Despite the impressive performance of Reinforcement Learning (RL), the black-box neural network backbone hinders users from trusting and deploying trained agents in real-world applications where safety is crucial. In order to make agents more trustworthy and controllable, for a given RL-trained poli…