Flow Navigation by Smart Microswimmers via Reinforcement Learning. - Simona Colabrese; Kristian Gustavsson; Antonio Celani; Luca Biferale (CoRR, 2017)

Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning. - Kristian Gustavsson; Luca Biferale; Antonio Celani; Simona Colabrese (CoRR, 2017)

Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning. - Luca Biferale; Fabio Bonaccorso; Michele Buzzicotti; Patricio Clark Di Leoni; Kristian Gustavsson (CoRR, 2019)

Optimal Control of Point-to-Point Navigation in Turbulent Flows using Reinforcement Learning. - Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso; Patricio Clark Di Leoni; Kristian Gustavsson (AIRO@AI*IA, 2020)

Optimal Control of Point-to-Point Navigation in Turbulent Time Dependent Flows Using Reinforcement Learning. - Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso; Patricio Clark Di Leoni; Kristian Gustavsson (AI*IA, 2020)

Machine learning for active matter. - Frank Cichos; Kristian Gustavsson; Bernhard Mehlig; Giovanni Volpe (Nat. Mach. Intell., 2020)

Constraints on parameter choices for successful reservoir computing. - L. Storm; Kristian Gustavsson; Bernhard Mehlig (CoRR, 2022)

Constraints on parameter choices for successful time-series prediction with echo-state networks. - L. Storm; Kristian Gustavsson; Bernhard Mehlig (Mach. Learn. Sci. Technol., 2022)

Finite-time Lyapunov exponents of deep neural networks. - L. Storm; Hampus Linander; J. Bec; Kristian Gustavsson; Bernhard Mehlig (CoRR, 2023)