Quirin Göttl

According to our database, Quirin Göttl authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Deep reinforcement learning enables conceptual design of processes for separating azeotropic mixtures without prior knowledge.

Quirin Göttl, Jonathan Pirnay, Jakob Burger, Dominik G. Grimm

Comput. Chem. Eng., 2025

2024

Automated Design in Hybrid Action Spaces by Reinforcement Learning and Differential Evolution.

Quirin Göttl, Haris Asif, Alexander Mattick, Robert Marzilger, Axel Plinge

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023

Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components.

Quirin Göttl, Jonathan Pirnay, Dominik G. Grimm, Jakob Burger

Comput. Chem. Eng., September, 2023

Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge.

Quirin Göttl, Jonathan Pirnay, Jakob Burger, Dominik G. Grimm

CoRR, 2023

Policy-Based Self-Competition for Planning Problems.

Jonathan Pirnay, Quirin Göttl, Jakob Burger, Dominik Gerhard Grimm

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning.

Quirin Göttl, Dominik G. Grimm, Jakob Burger

CoRR, 2021