Guided Deep Reinforcement Learning for Swarm Systems. - Maximilian Hüttenrauch; Adrian Sosic; Gerhard Neumann (CoRR, 2017)

Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning. - Maximilian Hüttenrauch; Adrian Sosic; Gerhard Neumann (CoRR, 2017)

Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. - Maximilian Hüttenrauch; Adrian Sosic; Gerhard Neumann (ANTS Conference, 2018)

Deep Reinforcement Learning for Swarm Systems. - Maximilian Hüttenrauch; Adrian Sosic; Gerhard Neumann (J. Mach. Learn. Res., 2019)

Coordinate ascent MORE with adaptive entropy control for population-based regret minimization. - Maximilian Hüttenrauch; Gerhard Neumann (GECCO Companion, 2021)

Deep Reinforcement Learning for Attacking Wireless Sensor Networks. - Juan Parras; Maximilian Hüttenrauch; Santiago Zazo; Gerhard Neumann (Sensors, 2021)

Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control. - Maximilian Hüttenrauch; Gerhard Neumann (CoRR, 2022)

Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. - Philipp Dahlinger; Philipp Becker; Maximilian Hüttenrauch; Gerhard Neumann (CoRR, 2023)

Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning. - Maximilian Hüttenrauch; Gerhard Neumann (J. Mach. Learn. Res., 2024)

On Representations and Exploration in Policy Search Methods for Multi-Agent Robotics. - Maximilian Hüttenrauch (2024)