Melvin Laux

According to our database, Melvin Laux authored at least 8 papers between 2014 and 2026.

Collaborative distances:

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

2026

Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation.

Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam

CoRR, April, 2026

DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding.

Yuhan Jin, Nayari Marie Lessa, Mariela De Lucas Alvarez, Melvin Laux, Lucas Amparo Barbosa, Frank Kirchner, Rebecca Adam

CoRR, April, 2026

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring.

Melvin Laux, Yi-Ling Liu, Rina Alo, Sören Töpper, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam

CoRR, April, 2026

2025

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning.

Octavio Arriaga, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.

Alexander Fabisch, Melvin Laux, Dennis Marschner, Johannes Brust

CoRR, 2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations.

Alexander Fabisch, Manuela Uliano, Dennis Marschner, Melvin Laux, Johannes Brust, Marco Controzzi

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2020

Deep Adversarial Reinforcement Learning for Object Disentangling.

Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2014

On the Suitability of Connectivity-Extended Local Embedding for Drawing Multivariate Graphs.

Sebastian Fahnenschreiber, Melvin Laux, Tatiana von Landesberger

Proceedings of the 19th International Workshop on Vision, Modeling, and Visualization, 2014