Jan Seyler

According to our database, Jan Seyler authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

MIRSim-RL: A Simulated Mobile Industry Robot Platform and Benchmarks for Reinforcement Learning.

Qingkai Li, Zijian Ma, Chenxing Li, Yinlong Liu, Tobias Recker, Daniel Brauchle, Jan Seyler, Mingguo Zhao, Shahram Eivazi

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo.

Chin-Jui Chang, Chenxing Li, Jan Seyler, Shahram Eivazi

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

Variable Stiffness, Sensing, and Healing in FESTO's FinRay Gripper: An Industry-Driven Design.

Seyedreza Kashef Tabrizian, Seppe Terryn, Daniel Brauchle, Jan Seyler, Joost Brancart, Guy Van Assche, Bram Vanderborght

IEEE Robotics Autom. Mag., December, 2024

Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024).

Alexander Wong, Yuhao Chen, Jan Seyler

AI Mag., 2024

2023

Novel Methods Inspired by Reinforcement Learning Actor-Critic Mechanism for Eye-in-Hand Calibration in Robotics.

Chenxing Li, Yinlong Liu, Yingbai Hu, Fabian Schreier, Jan Seyler, Shahram Eivazi

Proceedings of the IEEE International Conference on Development and Learning, 2023

Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure.

Shudao Wei, Chenxing Li, Jan Seyler, Shahram Eivazi

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience.

Chenxing Li, Yinlong Liu, Zhenshan Bing, Fabian Schreier, Jan Seyler, Shahram Eivazi

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2021

A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay.

Chenxing Li, Yinlong Liu, Zhenshan Bing, Jan Seyler, Shahram Eivazi

Proceedings of the Robot Intelligence Technology and Applications 6, 2021