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Maximilian Hüttenrauch
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2020 – today
- 2024
- [b1]Maximilian Hüttenrauch:
On Representations and Exploration in Policy Search Methods for Multi-Agent Robotics. Karlsruhe Institute of Technology, Germany, 2024 - [j3]Maximilian Hüttenrauch, Gerhard Neumann:
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning. J. Mach. Learn. Res. 25: 153:1-153:44 (2024) - 2023
- [i5]Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann:
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR abs/2310.20574 (2023) - 2022
- [i4]Maximilian Hüttenrauch, Gerhard Neumann:
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control. CoRR abs/2206.06090 (2022) - 2021
- [j2]Juan Parras
, Maximilian Hüttenrauch, Santiago Zazo
, Gerhard Neumann:
Deep Reinforcement Learning for Attacking Wireless Sensor Networks. Sensors 21(12): 4060 (2021) - [c2]Maximilian Hüttenrauch, Gerhard Neumann:
Coordinate ascent MORE with adaptive entropy control for population-based regret minimization. GECCO Companion 2021: 1493-1497
2010 – 2019
- 2019
- [j1]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Deep Reinforcement Learning for Swarm Systems. J. Mach. Learn. Res. 20: 54:1-54:31 (2019) - 2018
- [c1]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning. ANTS Conference 2018: 71-83 - [i3]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Deep Reinforcement Learning for Swarm Systems. CoRR abs/1807.06613 (2018) - 2017
- [i2]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Guided Deep Reinforcement Learning for Swarm Systems. CoRR abs/1709.06011 (2017) - [i1]Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning. CoRR abs/1709.07224 (2017)
Coauthor Index
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