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cs.LG2026
PlatoLTL: Scaling LTL-Guided Multi-Task RL
Jacques Cloete, Mathias Jackermeier, Ioannis Havoutis +1
Linear temporal logic (LTL) has emerged as a powerful formalism for specifying structured, temporally extended tasks in multi-task reinforcement learning (RL). However, while exist…
cs.LG2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan, Aristotelis Papatheodorou, Mark T. Mitchison +2
Scalable and generalizable physics-aware deep learning has long been considered a significant challenge with various applications across diverse domains ranging from robotics to mo…