Search Results for author:
Found 4 papers, 1 papers with code
Real-Time Optimization Meets Bayesian Optimization and Derivative-Free Optimization: A Tale of Modifier Adaptation
This paper investigates a new class of modifier-adaptation schemes to overcome plant-model mismatch in real-time optimization of uncertain processes.
Chance Constrained Policy Optimization for Process Control and Optimization
We propose a chance constrained policy optimization (CCPO) algorithm which guarantees the satisfaction of joint chance constraints with a high probability - which is crucial for safety critical tasks.
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty
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 for Batch Bioprocess Optimization
In this work, we applied the Policy Gradient method from batch-to-batch to update a control policy parametrized by a recurrent neural network.
Optimization and Control Systems and Control
