22 citations · 35 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Ali Payani, Faramarz Fekri
Relational Reinforcement Learning (RRL) can offers various desirable features. Most importantly, it allows for incorporating expert knowledge into the learning, and hence leading t…
cs.AI2019★ 22 cited
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Ali Payani, Faramarz Fekri
We propose a novel paradigm for solving Inductive Logic Programming (ILP) problems via deep recurrent neural networks. This proposed ILP solver is designed based on differentiable…
cs.LG2019★ 13 cited
Learning Algorithms via Neural Logic Networks
Ali Payani, Faramarz Fekri
We propose a novel learning paradigm for Deep Neural Networks (DNN) by using Boolean logic algebra. We first present the basic differentiable operators of a Boolean system such as…