Search Results for author: Gabriel Hurtado

Found 2 papers, 1 papers with code

The guide and the explorer: smart agents for resource-limited iterated batch reinforcement learning

no code implementations29 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.

Acrobot Model Predictive Control +1

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?

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.

Acrobot Model-based Reinforcement Learning

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