Kristian Gustavsson

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Optimal Control

Brownian Motion

Top Venues

Mach. Learn. Sci. Technol.

Nat. Mach. Intell.

Publications

L. Storm, Hampus Linander, J. Bec, Kristian Gustavsson, Bernhard Mehlig
Finite-time Lyapunov exponents of deep neural networks. CoRR (2023)
L. Storm, Kristian Gustavsson, Bernhard Mehlig
Constraints on parameter choices for successful time-series prediction with echo-state networks. Mach. Learn. Sci. Technol. 3 (4) (2022)
L. Storm, Kristian Gustavsson, Bernhard Mehlig
Constraints on parameter choices for successful reservoir computing. CoRR (2022)
Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning. CoRR (2021)
Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson
Optimal Control of Point-to-Point Navigation in Turbulent Time Dependent Flows Using Reinforcement Learning. AI*IA (2020)
Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson
Optimal Control of Point-to-Point Navigation in Turbulent Flows using Reinforcement Learning. AIRO@AI*IA (2020)
Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe
Machine learning for active matter. Nat. Mach. Intell. 2 (2) (2020)
Luca Biferale, Fabio Bonaccorso, Michele Buzzicotti, Patricio Clark Di Leoni, Kristian Gustavsson
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning. CoRR (2019)
Kristian Gustavsson, Luca Biferale, Antonio Celani, Simona Colabrese
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning. CoRR (2017)
Simona Colabrese, Kristian Gustavsson, Antonio Celani, Luca Biferale
Flow Navigation by Smart Microswimmers via Reinforcement Learning. CoRR (2017)