Search Results for author: Ehecatl Antonio del Río Chanona

Found 2 papers, 1 papers with code

Safe Chance Constrained Reinforcement Learning for Batch Process Control

1 code implementation • 23 Apr 2021 • Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Río Chanona, Dongda Zhang

Specifically, we propose a data-driven approach that utilizes Gaussian processes for the offline simulation model and use the associated posterior uncertainty prediction to account for joint chance constraints and plant-model mismatch.

Gaussian Processes Model Predictive Control +2

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Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty

no code implementations • 4 Jun 2020 • Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Río Chanona

We use chance constraints to guarantee the probabilistic satisfaction of process constraints, which is accomplished by introducing backoffs, such that the optimal policy and backoffs are computed simultaneously.

reinforcement-learning Reinforcement Learning (RL)

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