Deep Reinforcement Learning for Inverse Inorganic Materials Design

no code implementations • 21 Oct 2022 • Elton Pan, Christopher Karpovich, Elsa Olivetti

A major obstacle to the realization of novel inorganic materials with desirable properties is the inability to perform efficient optimization across both materials properties and synthesis of those materials.

Formation Energy reinforcement-learning +1

Constrained Model-Free Reinforcement Learning for Process Optimization

no code implementations • 16 Nov 2020 • Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona

We propose an 'oracle'-assisted constrained Q-learning algorithm that guarantees the satisfaction of joint chance constraints with a high probability, which is crucial for safety critical tasks.

Model Predictive Control Q-Learning +3