Speeding-up continual learning through information gains in novel experiences P Lorang, S Goel, P Zips, J Sinapov, M Scheutz 4th Planning and Reinforcement Learning (PRL) Workshop at IJCAI-2022, 2022 | 6 | 2022 |
A neurosymbolic cognitive architecture framework for handling novelties in open worlds S Goel, P Lymperopoulos, R Thielstrom, E Krause, P Feeney, P Lorang, ... Artificial Intelligence 331, 104111, 2024 | 3 | 2024 |
A Framework for Neurosymbolic Goal-Conditioned Continual Learning in Open World Environments P Lorang, S Goel, Y Shukla, P Zips, M Scheutz 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | | 2024 |
Adapting to the “Open World”: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning P Lorang, H Horvath, T Kietreiber, P Zips, C Heitzinger, M Scheutz 2024 IEEE International Conference on Robotics and Automation (ICRA), 508-514, 2024 | | 2024 |