Jan Seyler

11 papers A* 1C 1Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo.
ICAART (2)
Chin-Jui Chang, Chenxing Li, Jan Seyler, Shahram Eivazi
2025 J jnl
Introduction to the special issue on innovative applications of artificial intelligence (IAAI 2025).
AI Mag.
Serdar Kadioglu, Sean McGregor, Jan Seyler
2025 — conf
MIRSim-RL: A Simulated Mobile Industry Robot Platform and Benchmarks for Reinforcement Learning.
ICAART (1)
Qingkai Li, Zijian Ma, Chenxing Li, Yinlong Liu, Tobias Recker, Daniel Brauchle, Jan Seyler, Mingguo Zhao, Shahram Eivazi
2025 A* conf
Synthesizing Depowdering Trajectories for Robot Arms using Deep Reinforcement Learning.
ICRA
Maximilian Maurer, Simon Seefeldt, Jan Seyler, Shahram Eivazi
2025 C conf
Toward Co-Working with Autonomous Agents: Rethinking Operations of Automation Systems.
ETFA
Martin Kovacs, Johannes Baumgartl, Fabian Schreier, Ferdinand Hummel, Jan Seyler, Shahram Eivazi
2024 J jnl
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024).
AI Mag.
Alexander Wong, Yuhao Chen, Jan Seyler
2024 J jnl
Variable Stiffness, Sensing, and Healing in FESTO's FinRay Gripper: An Industry-Driven Design.
IEEE Robotics Autom. Mag.
Seyedreza Kashef Tabrizian, Seppe Terryn, Daniel Brauchle, Jan Seyler, Joost Brancart, Guy Van Assche, Bram Vanderborght
2023 — conf
Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience.
ICAART (3)
Chenxing Li, Yinlong Liu, Zhenshan Bing, Fabian Schreier, Jan Seyler, Shahram Eivazi
2023 — conf
Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure.
ICAART (3)
Shudao Wei, Chenxing Li, Jan Seyler, Shahram Eivazi
2023 — conf
Novel Methods Inspired by Reinforcement Learning Actor-Critic Mechanism for Eye-in-Hand Calibration in Robotics.
ICDL
Chenxing Li, Yinlong Liu, Yingbai Hu, Fabian Schreier, Jan Seyler, Shahram Eivazi
2021 — conf
A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay.
RiTA
Chenxing Li, Yinlong Liu, Zhenshan Bing, Jan Seyler, Shahram Eivazi