A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay. - Chenxing Li; Yinlong Liu; Zhenshan Bing; Jan Seyler; Shahram Eivazi (RiTA, 2021)

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 (ICAART (3), 2023)

Integration of Efficient Deep Q-Network Techniques Into QT-Opt Reinforcement Learning Structure. - Shudao Wei; Chenxing Li; Jan Seyler; Shahram Eivazi (ICAART (3), 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 (ICDL, 2023)

Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2024). - Alexander Wong; Yuhao Chen 001; Jan Seyler (AI Mag., 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., 2024)

Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo. - Chin-Jui Chang; Chenxing Li; Jan Seyler; Shahram Eivazi (ICAART (2), 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 (ICAART (1), 2025)