2 papers
cs.LG2026
Efficient Planning in Reinforcement Learning via Model Introspection
Gabriel Stella
Reinforcement learning and classical planning are typically seen as two distinct problems, with differing formulations necessitating different solutions. Yet, when humans are given…
cs.LG2026
Object-Oriented Transition Modeling with Inductive Logic Programming
Gabriel Stella, Dmitri Loguinov
Building models of the world from observation, i.e., induction, is one of the major challenges in machine learning. In order to be useful, models need to maintain accuracy when use…