Maximilian Hüttenrauch

According to our database, Maximilian Hüttenrauch authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

On Representations and Exploration in Policy Search Methods for Multi-Agent Robotics.

Maximilian Hüttenrauch

PhD thesis, 2024

Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning.

Maximilian Hüttenrauch, Gerhard Neumann

J. Mach. Learn. Res., 2024

2023

Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization.

Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann

CoRR, 2023

2022

Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control.

Maximilian Hüttenrauch, Gerhard Neumann

CoRR, 2022

2021

Deep Reinforcement Learning for Attacking Wireless Sensor Networks.

Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, Gerhard Neumann

Sensors, 2021

Coordinate ascent MORE with adaptive entropy control for population-based regret minimization.

Maximilian Hüttenrauch, Gerhard Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019

Deep Reinforcement Learning for Swarm Systems.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

J. Mach. Learn. Res., 2019

2018

Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017

Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

CoRR, 2017

Guided Deep Reinforcement Learning for Swarm Systems.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

CoRR, 2017