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On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

Feb 26, 2021
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

* 19 pages, accepted by AISTATS 2021 

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Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Nov 02, 2018
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine

* NIPS 2018, video and code available at https://sites.google.com/view/drl-in-a-handful-of-trials/ 

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MBMF: Model-Based Priors for Model-Free Reinforcement Learning

Oct 17, 2017
Somil Bansal, Roberto Calandra, Kurtland Chua, Sergey Levine, Claire Tomlin

* After we submitted the paper for consideration in CoRL 2017 we found a paper published in the recent past with a similar method (see related work for a discussion). Considering the similarities between the two papers, we have decided to retract our paper from CoRL 2017 

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