no code implementations • 29 Sep 2021 • Albert Thomas, Balázs Kégl, Othman Gaizi, Gabriel Hurtado
Iterated batch reinforcement learning (RL) is a growing subfield fueled by the demand from systems engineers for intelligent control solutions that they can apply within their technical and organizational constraints.
1 code implementation • ICLR 2021 • Balázs Kégl, Gabriel Hurtado, Albert Thomas
We contribute to micro-data model-based reinforcement learning (MBRL) by rigorously comparing popular generative models using a fixed (random shooting) control agent.