Wenhao Lu

Research

Research interest includes reinforcement learning and its generalization ability and interpretability, as well as representation learning for RL. In specific, the main focus covers the diverse exploration strategies, meta-learning and GNN to empower RL-agent to learn even causal or relational structures underlying the robotic tasks, so as to make them more interpretable.