3 papers
cs.RO2026
Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
Hakan Aktas, Yigit Yildirim, Ahmet Firat Gamsiz +3
This paper proposes a novel learning architecture for acquiring generalizable high-level symbolic skills from a few unlabeled low-level skill trajectory demonstrations. The archite…
cs.LG2025
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur +1
Offline Reinforcement Learning (RL) provides a promising avenue for training policies from pre-collected datasets when gathering additional interaction data is infeasible. However,…
cs.RO2025
Interleaved Multitask Learning with Energy Modulated Learning Progress
Hanne Say, Suzan Ece Ada, Emre Ugur +2
As humans learn new skills and apply their existing knowledge while maintaining previously learned information, "continual learning" in machine learning aims to incorporate new dat…