Evolutionary reinforcement learning for sparse rewards. - Shibei Zhu; Francesco Belardinelli; Borja Gonzalez León (GECCO Companion, 2021)

Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations. - Shibei Zhu; Rituraj Kaushik; Samuel Kaski; Ville Kyrki (IROS, 2023)

Interactive Reward Tuning: Interactive Visualization for Preference Elicitation. - Danqing Shi; Shibei Zhu; Tino Weinkauf; Antti Oulasvirta (IROS, 2024)

Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice. - Sebastiaan De Peuter; Shibei Zhu; Yujia Guo; Andrew Howes 001; Samuel Kaski (NeurIPS, 2024)

Challenges of Data-Driven Simulation of Diverse and Consistent Human Driving Behaviors. - Kalle Kujanpää; Daulet Baimukashev; Shibei Zhu; Shoaib Azam; Farzeen Munir; Gokhan Alcan; Ville Kyrki (CoRR, 2024)

Online Learning of Human Constraints from Feedback in Shared Autonomy. - Shibei Zhu; Tran Nguyen Le; Samuel Kaski; Ville Kyrki (CoRR, 2024)