Adapting to the "Open World": The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning. - Pierrick Lorang; Helmut Horvath; Tobias Kietreiber; Patrik Zips; Clemens Heitzinger; Matthias Scheutz (ICRA, 2024)

A Framework for Neurosymbolic Goal-Conditioned Continual Learning in Open World Environments. - Pierrick Lorang; Shivam Goel; Yash Shukla; Patrik Zips; Matthias Scheutz (IROS, 2024)

A neurosymbolic cognitive architecture framework for handling novelties in open worlds. - Shivam Goel; Panagiotis Lymperopoulos; Ravenna Thielstrom; Evan A. Krause; Patrick Feeney; Pierrick Lorang; Sarah Schneider; Yichen Wei; Eric J. Kildebeck; Stephen A. Goss; Michael C. Hughes; Li-Ping Liu 001; et al. (Artif. Intell., 2024)

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation. - Pierrick Lorang; Hong Lu; Matthias Scheutz (CoRR, 2025)