Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. - Kurtland Chua; Roberto Calandra; Rowan McAllister; Sergey Levine (NeurIPS, 2018)

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. - Baohe Zhang; Raghu Rajan; Luis Pineda; Nathan O. Lambert; André Biedenkapp; Kurtland Chua; Frank Hutter; Roberto Calandra (AISTATS, 2021)

How Fine-Tuning Allows for Effective Meta-Learning. - Kurtland Chua; Qi Lei; Jason D. Lee (NeurIPS, 2021)

Provable Hierarchy-Based Meta-Reinforcement Learning. - Kurtland Chua; Qi Lei; Jason D. Lee (AISTATS, 2023)