Kurtland Chua

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Top Venues

Publications

Kurtland Chua, Qi Lei, Jason D. Lee
Provable Hierarchy-Based Meta-Reinforcement Learning. AISTATS (2023)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. CoRR (2021)
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. AISTATS (2021)
Kurtland Chua, Qi Lei, Jason D. Lee
How Fine-Tuning Allows for Effective Meta-Learning. NeurIPS (2021)
Kurtland Chua, Qi Lei, Jason D. Lee
How Fine-Tuning Allows for Effective Meta-Learning. CoRR (2021)
Kurtland Chua, Qi Lei, Jason D. Lee
Provable Hierarchy-Based Meta-Reinforcement Learning. CoRR (2021)
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. CoRR (2018)
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models. NeurIPS (2018)