Nicolas Bach

According to our database, Nicolas Bach authored at least 4 papers between 2020 and 2023.

Collaborative distances:

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

2023

Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey].

Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner

IEEE Robotics Autom. Mag., June, 2023

evoBOT - Design and Learning-Based Control of a Two-Wheeled Compound Inverted Pendulum Robot.

Patrick Klokowski, Julian Eßer, Nils Gramse, Benedikt Pschera, Marc Plitt, Frido Feldmeier, Shubham Bajpai, Christian Jestel, Nicolas Bach, Oliver Urbann, Sören Kerner

IROS, 2023

2020

Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3.

Nicolas Bach, Andrew Melnik, Malte Schilling, Timo Korthals, Helge J. Ritter

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

An Error-Based Addressing Architecture for Dynamic Model Learning.

Nicolas Bach, Andrew Melnik, Federico Rosetto, Helge J. Ritter

Proceedings of the Machine Learning, Optimization, and Data Science, 2020