Understanding the Asymptotic Performance of Model-Based RL Methods

By William F. Whitney, Rob Fergus. 2018

7 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Marvin Zhang
2. Justin Fu
3. Sergey Levine
4. Pieter Abbeel
5. Aviral Kumar
6. Michael Janner
7. Benjamin Eysenbach
8. Ofir Nachum

Citations in the corpus

• When to Trust Your Model: Model-Based Policy Optimization (2019, background): “Alternatively, a model may also be trained on its own outputs to avoid compounding error from multi-step predictions (Talvitie, 2014, 2016) or predict many timesteps into the future (Whitney & Fergus, 2018).”