Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Rippling is a proof search guidance technique with particular application to proof by mathematical induction. It is based on a concept of annotating the differences between two terms. In its original formulation this annotation was only appropriate to first-order formulae. We use a notion of embedding to adapt these annotations appropriately for higher-order syntax. This representation simplifies the theory of annotated terms, no longer requiring special substitution and unification theorems. A key feature of the representation is that it provides a clean separation of the term and the annotation. We illustrate this with selected examples using our implementation of these ideas in λClam. © 2010 Springer Science+Business Media B.V.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Yehuda Naveli, Michal Rimon, et al.
AAAI/IAAI 2006
Yi Zhou, Parikshit Ram, et al.
ICLR 2023
Daniel Karl I. Weidele, Priyanshu Rai, et al.
AAAI 2026